CN114925468B - Correction coefficient reliability distribution method based on historical data - Google Patents
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Abstract
The invention provides a correction coefficient reliability distribution method based on historical data, which comprises the steps of proportionally distributing reliability indexes based on the number of faults of similar products; according to the characteristics of the new product, the adjustment coefficient is formed by combining the evaluation of the demand party and the development party, and the distribution result is corrected; to more effectively communicate reliability requirements across various environments such as design, manufacturing, testing, and management, a minimum acceptable value, a design input value, is determined. In the scheme design and engineering design stage, along with the continuous and clear positioning of products and continuous and clear system level relation, parts and elements which are partly used from old products have a certain amount of historical fault data, and the reliability indexes of the mechanical transmission device can be more scientifically distributed; compared with the existing reliability distribution method, the distribution result can not only give consideration to the authenticity of the result obtained by the previous actual test of similar products, but also embody the specific characteristics of the newly designed mechanical transmission device.
Description
Technical Field
The invention belongs to the technical field of reliability design, and particularly relates to a correction coefficient reliability distribution method based on historical data.
Background
The distribution of the reliability index of the mechanical transmission device is to distribute the reliability quantitative index to the top-down decomposition process of the subsystem, the parts/components and the parts/components according to the requirement. The distribution result directly defines the reliability requirements of each component and is used as the basis of the reliability identification and assessment test and evaluation, so that the reliability index distribution method has great influence on the development process of the mechanical transmission device. The basic reliability allocation method is various, and different reliability allocation methods can be used for different products and different development stages. The reliability distribution method commonly used in engineering comprises an equal distribution method, a similar product method, a AGREE method and the like.
The equal allocation method is the simplest reliability index allocation method and is mostly used in the conceptual design stage, namely when the product has no inheritance and the definition of the product is not clear enough. The core idea of the equal distribution method is that for a simple serial product, the reliability level of each constituent unit can be considered to be the same. The equal distribution method is simple and easy to understand, but it assumes that the conditions (i.e., the reliability level of the individual components of the system are the same) are not true in complex systems that include multiple classes of components. In practice, the components of the product have great differences in terms of structure, materials, working environment, working time, hazard of faults, etc., and it is not reasonable to assign reliability indexes to the components. Therefore, the equal distribution method cannot be applied to complex systems such as mechanical transmission devices, and is only suitable for rough reliability distribution of simple systems whose product definition is not clear in the conceptual design stage.
The similar product method is a reliability index distribution method which is suitable for the similarity of structures, materials, processes and the like of new and old products and has the statistical data of the old products. In the similar product method, if a newly designed product is very similar to an old product, namely, each unit type forming the product is the same, a new reliability requirement is provided for a new product only according to a new situation, and then the failure rate can be allocated to each unit of the new product according to the failure rate of each unit in the old product and the reliability requirement of the new product. The method is applicable to the demonstration stage, the scheme stage and the preliminary design stage. The similar product method is to distribute the reliability of new products according to the reliability data of the existing similar products, and the essence is to consider that the original products basically reflect the reliability level which can be realized by the products in a certain period, the individual units of the new products can not have great breakthrough in technology, and accordingly, the new reliability index can be adjusted in proportion to the original capability according to the actual level. Ideally, the method can distribute new system reliability requirements to all subsystems in a reasonable proportion, thereby providing reasonable reliability requirements for all development institutions. But the rationality and scientificity of the distribution result is severely dependent on the validity of the reliability data of similar products.
The AGREE method was originally proposed to solve the reliability allocation problem of electronic devices, and it considers both the complexity and importance of each component unit and the working time and the failure relationship between them and the system, so it is also called algebraic allocation method according to the complexity and importance of the units. The AGREE method is to distribute reliability according to the complexity, importance and working time of each unit in the product, and the essence is to distribute from the reliability demand, so that important parts focusing on reliability in the research and development process can be well pulled, but the working time information of each part and component needs to be determined in advance, so that the accuracy of the information is often limited for a complex system, and the distribution accuracy is insufficient.
Disclosure of Invention
First, the technical problem to be solved
The invention provides a correction coefficient reliability distribution method based on historical data, which aims to solve the technical problem that the existing mechanical transmission device reliability index distribution method is insufficient.
(II) technical scheme
In order to solve the above technical problems, the present invention provides a correction coefficient reliability allocation method based on historical data, the correction coefficient reliability allocation method comprising the following steps:
S1, taking a basic reliability index in a development task book as a minimum acceptable value, and defining a design input value in a basic reliability allocation activity as an input condition during reliability allocation;
S2, calculating the total failure rate lambda xk and the reliability R x of the mechanical transmission device:
Wherein lambda xt is the total failure rate requirement of the newly-developed product taking the average fault interval time as a parameter; lambda xk is the total failure rate requirement of the newly developed product taking the evaluation of the fault interval mileage as a parameter; v is the average running speed of the vehicle, and the unit is km/h; s is the driving mileage, and the unit is km; MKBF is mean failure distance mileage, MTBF is mean failure time;
S3, collecting fault data of similar products, counting the number of faults, and specifying the faults to each component;
S4, calculating fault proportions of all parts of similar products, wherein the calculation formula is as follows:
Wherein K i is the fault proportion of the ith component, f i is the fault number of the ith component, and n is the number of the ith component in the integrated transmission device;
s5, calculating the failure rate of each part of the newly-ground product, wherein the calculation formula is as follows:
λoi＝λxk×Ki
Wherein lambda oi is the failure rate of the ith component of the newly developed integrated transmission device based on the fault history data;
S6, calculating new characteristic scores of all parts according to the characteristics of newly-ground products; the new characteristic score is subjectively scored by an expert group from six dimensions of product complexity, environmental conditions, load frequency, design technology maturity, manufacturing technology maturity and maintenance difficulty, the result after scoring and averaging is marked as X ij (j=1, 2,3,4,5 and 6), the score value range is 1-10 points, and the score value is high, which represents high allowable failure rate; multiplying the six dimensional scoring results of a part to obtain an average score X i for the part,
Determining respective weighting coefficients y ij (j=1, 2,3,4,5, 6) from the six dimensions by an expert group, wherein the total coefficient is 1, and the weighting coefficients are distributed to the 6 dimensions, and the high score represents high allowable failure rate; recording the new characteristic score of the ith component as W i
Wherein W i is the new characteristic score of the ith component, X ij is the j dimension factor score of the ith component, and y ij is the j dimension factor weighting coefficient of the ith component;
s7, determining a characteristic grading adjustment coefficient of the newly ground product according to the characteristics of the newly ground product
According to the similarity of similar mechanical transmission devices and the credibility of test data, combining factor conditions related to the reliability of the newly-developed mechanical transmission devices, determining an adjustment coefficient between the historical fault number and the newly-developed product characteristic score, defining beta as the newly-developed product characteristic score adjustment coefficient, wherein beta is more than or equal to 0 and less than or equal to 1, and determining the failure rate adjustment coefficient determined by the historical fault number as 1-beta;
S8, comprehensively considering fault history data and grading results of the newly-developed comprehensive transmission device, and calculating final failure rate distribution and average fault interval mileage distribution results
According to the scoring result of the new characteristics of each component, the proportion alpha i of the scoring of each component is calculated, and the calculation formula is as follows:
According to the grading result of the newly-ground product, determining the failure rate lambda xi of each part as follows:
λxi＝λxk×αi
comprehensively considering fault history data and grading results of the newly-ground mechanical transmission device, and calculating the final failure rate lambda xzi of each part of the newly-ground product as follows:
λxzi＝λoi×(1-β)+λxi×β
Further, MKBF i was calculated as:
Wherein MKBF oi is the average inter-fault distance mileage of the newly developed product based on the fault history data, MKBF xi is the average interfailure mileage of the newly developed product based on the new characteristic score,
Further, in step S1, the ratio between the design input value and the lowest acceptable value is 1.25-2.
Further, in step S6, product complexity: the evaluation is carried out according to the number of parts and elements in the mechanical transmission device, the complex relation of assembly, the importance of functions and other factors, wherein the most complex is 10 minutes, and the simplest is 1 minute; environmental conditions: the worst environmental condition is 10 minutes, and most suitable is 1 minute according to the environmental factors encountered by the mechanical transmission device in the actual task; load frequency: scoring according to the action frequency of external loads received by the mechanical transmission device under different task working conditions, wherein the highest frequency is 10 minutes, and the lowest frequency is 1 minute; degree of design technology maturity: the method is characterized by evaluating the degree to which a new product design technology applied to parts and elements meets the expected equipment application targets in the design stage, wherein the minimum maturity is 10 points and the maximum maturity is 1 point; the maturity of the manufacturing technology: the least mature is 10 points, and the most mature is 1 point, as assessed by the degree to which the part, component, or technology used in the manufacturing process can be converted into weapon system design or production; difficulty in maintenance: the mechanical transmission device is evaluated according to factors such as maintenance time of each part and element of the mechanical transmission device, equipment function importance coefficient, complex relation of equipment subunit assembly, maintenance environment coefficient and the like, wherein the maintenance is 10 minutes most difficult, and the maintenance is 1 minute most easy.
Further, in step S7, β has a value of 0.3 to 0.5.
(III) beneficial effects
The invention provides a correction coefficient reliability distribution method based on historical data, which comprises the steps of proportionally distributing reliability indexes based on the number of faults of similar products; according to the characteristics of the new product, the adjustment coefficient is formed by combining the evaluation of the demand party and the development party, and the distribution result is corrected; to more effectively communicate reliability requirements across various environments such as design, manufacturing, testing, and management, a minimum acceptable value, a design input value, is determined. In the scheme design and engineering design stage, along with the continuous and clear positioning of products and continuous and clear system level relation, parts and elements which are partly used from old products have a certain amount of historical fault data, and the reliability indexes of the mechanical transmission device can be more scientifically distributed; compared with the existing reliability distribution method, the distribution result can not only give consideration to the authenticity of the result obtained by the previous actual test of similar products, but also embody the specific characteristics of the newly designed mechanical transmission device.
Drawings
Fig. 1 is a flowchart of a correction coefficient reliability allocation method according to an embodiment of the present invention.
Detailed Description
To make the objects, contents and advantages of the present invention more apparent, the following detailed description of the present invention will be given with reference to the accompanying drawings and examples.
The embodiment provides a correction coefficient reliability distribution method based on historical data, which is characterized in that a minimum acceptable value and a design input value are determined through basic reliability indexes in a task book, the reliability indexes are distributed according to the proportion through the number of faults of similar products, and according to the characteristics of new products, the adjustment coefficients are formed by combining the evaluation of a demand party and a development party, and the distribution results are corrected, so that the reliability quantitative indexes are distributed to subsystems, components/assemblies, parts/components according to requirements. As shown in fig. 1, the method specifically includes the following steps:
S1, taking a basic reliability index (a common noun in the reliability field) in a development task book (a reliability requirement specified by a project consignor) as a minimum acceptable value, namely the requirement which is required to be reached by actual assessment and verification. In order to realize the concept that reliability is designed, manufactured and managed, in the basic reliability allocation activity, "design input value" is additionally defined as an input condition in reliability allocation. In general, the ratio between the input value and the lowest acceptable value is designed to be 1.25-2.
In the embodiment, by referring to the same index of the similar products at home and abroad which can be referred at present, the MKBF index specified value of the system level can be preliminarily determined to be 4000km, so that the higher reliability level of the similar products at home and abroad at present is achieved. When determining the design input value of the reliability index, the functional requirement of the product needs to be further analyzed, the functional parameters are determined, and the design of the working principle of the product is ensured. Therefore, the design input value of the reliability index of the system level needs to be further improved on the basis of the lowest acceptable value so as to meet the requirements of corresponding functions of the reliability indexes of key components and elements in the system under the condition of clear functional principles, adapt to different working environments and continuously work to the working time of targets, and provide index margins for the key components and elements. According to the experience of the traditional reliability distribution method and referring to the reliability index distribution example aiming at similar products at home and abroad in recent years, a MKBF index is lifted in a staged mode, namely, the index is multiplied by a lifting coefficient of 1.25, so that the margin of the index is improved, and the safety is increased for the reliability analysis work of a mechanical transmission device. According to related documents and cases, combined with engineering practical experience, the improvement coefficient is determined to be 1.25, so that relatively conservative or overlarge-amplitude index improvement can be avoided, and therefore, the system-level MKBF index design input value is 5000km.
S2, calculating the total failure rate lambda xk and the reliability R x of the mechanical transmission device:
Wherein lambda xt is the total failure rate requirement of the newly-developed product taking the average fault interval time as a parameter, lambda xk is the total failure rate requirement of the newly-developed product taking the evaluation fault interval mileage as a parameter, V is the average running speed, the unit km/h, S is the running mileage, and the unit km. MKBF is the mean interfailure mileage and MTBF is the mean interfailure time.
S3, collecting fault data of similar products (mechanical transmission devices developed in the past), and counting a fault number f i (fourth column of table 1), wherein faults can be specific to each component, and the results are shown in table 1.
Table 1 failure data for similar products
| Sequence number | Component part | Number of parts | Number of faults | Total number of faults |
| 1 | Support frame | 1 | 2 | 2 |
| 2 | Oil supply system | 1 | 5 | 5 |
| 3 | Fan device | 1 | 2 | 2 |
| 4 | Electric control system | 1 | 7 | 7 |
| 5 | Speed change mechanism | 1 | 11 | 11 |
| 6 | Manipulation system | 1 | 9 | 9 |
| 7 | Oil tank | 1 | 5 | 5 |
| 8 | Motor with a motor housing | 1 | 9 | 9 |
| 9 | Speed reducer | 1 | 3 | 3 |
| 10 | Control system | 1 | 10 | 10 |
S4, calculating fault proportions of all parts of similar products, laying a foundation for subsequent determination of failure rate of newly-ground products, and the calculation formula is as follows:
Where K i is the failure rate of the ith component, f i is the failure number of the ith component, and n is the number of components of the ith component in the integrated transmission (third column of Table 1).
The results are shown in Table 2.
TABLE 2 failure ratios of parts of similar products
| Sequence number | Component part | Fault proportion |
| 1 | Support frame | 3.17％ |
| 2 | Oil supply system | 7.94％ |
| 3 | Fan device | 3.17％ |
| 4 | Electric control system | 11.11％ |
| 5 | Speed change mechanism | 17.46％ |
| 6 | Manipulation system | 14.29％ |
| 7 | Oil tank | 7.94％ |
| 8 | Motor with a motor housing | 14.29％ |
| 9 | Speed reducer | 4.76％ |
| 10 | Control system | 15.87％ |
S5, calculating the failure rate of each part of the newly-ground product, wherein the calculation formula is as follows:
λoi＝λxk×Ki
Wherein lambda oi is the failure rate of the ith component of the newly developed integrated transmission device based on the fault history data.
The results are shown in Table 3.
TABLE 3 failure rate lambda of parts of freshly ground product oi
S6, calculating new characteristic scores of all the components according to the characteristics of the newly ground product. The new characteristic score is subjectively scored by an expert group from six dimensions of 'product complexity', 'environmental condition', 'load frequency', 'design technology maturity', 'manufacturing technology maturity', 'maintenance difficulty', and the result after scoring and averaging is marked as X ij (j=1, 2,3,4,5, 6), the score value range is 1-10 points, and the score value is high, which represents high allowable failure rate. Multiplying the six dimensional scoring results of a part to obtain an average score X i for the part,The results are shown in Table 4.
TABLE 4 New Property score for parts
The 6 dimensions of "product complexity", "environmental conditions", "load frequency", "design technology maturity", "manufacturing technology maturity", "maintenance difficulty" are considered as follows.
(1) Product complexity: the evaluation is based on the number of parts and elements in the mechanical transmission, the complex relationship of assembly, the importance of function, etc., the most complex is 10 minutes, and the simplest is 1 minute.
(2) Environmental conditions: the mechanical transmission is rated according to the environmental factors (including road surface conditions, weather conditions and the like) encountered by the mechanical transmission in actual tasks, and the worst environmental conditions are 10 points, and most suitable are 1 point.
(3) Load frequency: the frequency is scored according to the external load acting frequency of the mechanical transmission device under different task working conditions, wherein the highest frequency is 10 minutes, and the lowest frequency is 1 minute.
(4) Degree of design technology maturity: the design stage is rated according to the degree to which the new product design technology applied for the parts and elements meets the expected equipment application targets, and the least mature is 10 points and the most mature is 1 point.
(5) The maturity of the manufacturing technology: the least mature is 10 points and the most mature is 1 point, as assessed by the degree to which the part, component, or technology used in the manufacturing process can be converted into weapon system design or production.
(6) Difficulty in maintenance: the mechanical transmission device is evaluated according to factors such as maintenance time of each part and element of the mechanical transmission device, equipment function importance coefficient, complex relation of equipment subunit assembly, maintenance environment coefficient and the like, wherein the maintenance is 10 minutes most difficult, and the maintenance is 1 minute most easy.
The expert group determines the respective weighting coefficients y ij (j=1, 2,3,4,5, 6) from the six dimensions, the total coefficient is 1, and the expert group is distributed to the 6 dimensions, and the high score represents the high allowable failure rate. Recording the new characteristic score of the ith component as W i
Where W i is the new property score for the ith component, X ij is the j-th dimension factor score for the ith component, and y ij is the j-th dimension factor weighting coefficient for the ith component.
S7, determining the characteristic scoring adjustment coefficient of the newly-ground product according to the characteristics of the newly-ground product.
According to the similarity of similar mechanical transmission devices and the credibility of test data, combining the factor conditions related to the reliability of the newly-developed mechanical transmission devices, determining an adjustment coefficient between the historical fault number and the newly-developed product characteristic score, defining beta as the newly-developed product characteristic score adjustment coefficient (beta is more than or equal to 0 and less than or equal to 1), and determining the failure rate adjustment coefficient determined by the historical fault number as 1-beta. Generally, the beta value is 0.3 to 0.5, and in this embodiment, the beta value is 0.3.
S8, comprehensively considering fault history data and grading results of the newly-developed comprehensive transmission device, and calculating final failure rate distribution and average fault interval mileage distribution results.
According to the scoring result of the new characteristics of each component, the proportion alpha i of the scoring of each component is calculated, and the calculation formula is as follows:
The results are shown in Table 5.
TABLE 5 ratio of the score of each part
| Sequence number | Component part | Average score ratio |
| 1 | Support frame | 13.18％ |
| 2 | Oil supply system | 5.65％ |
| 3 | Fan device | 12.10％ |
| 4 | Electric control system | 3.29％ |
| 5 | Speed change mechanism | 11.30％ |
| 6 | Manipulation system | 1.57％ |
| 7 | Oil tank | 17.65％ |
| 8 | Motor with a motor housing | 6.35％ |
| 9 | Speed reducer | 17.93％ |
| 10 | Control system | 10.98％ |
According to the grading result of the newly-ground product, determining the failure rate lambda xi of each part as follows:
λxi＝λxk×αi
The results are shown in Table 6.
TABLE 6 failure rates of parts of freshly ground product
Comprehensively considering fault history data and grading results of the newly-ground mechanical transmission device, and calculating the final failure rate lambda xzi of each part of the newly-ground product as follows:
λxzi＝λoi×(1-β)+λxi×β
The results are shown in Table 7.
TABLE 7 Final failure rates of parts of freshly ground product
| Sequence number | Component part | Total failure rate lambda xzi (1/km) |
| 1 | Support frame | 4.44E-06 |
| 2 | Oil supply system | 1.90E-05 |
| 3 | Fan device | 7.83E-06 |
| 4 | Electric control system | 2.28E-05 |
| 5 | Speed change mechanism | 2.64E-05 |
| 6 | Manipulation system | 2.68E-05 |
| 7 | Oil tank | 1.21E-05 |
| 8 | Motor with a motor housing | 3.06E-05 |
| 9 | Speed reducer | 1.05E-05 |
| 10 | Control system | 3.30E-05 |
Further, MKBF i can be calculated as:
Wherein MKBF oi is the average inter-fault distance mileage of the newly developed product based on the fault history data, MKBF xi is the average interfailure mileage of the newly developed product based on the new characteristic score,
The results are shown in Table 8.
TABLE 8 New ground product Components MKBF
| Sequence number | Component part | MKBF(km) |
| 1 | Support frame | 2.25E+05 |
| 2 | Oil supply system | 5.26E+04 |
| 3 | Fan device | 1.28E+05 |
| 4 | Electric control system | 4.38E+04 |
| 5 | Speed change mechanism | 3.78E+04 |
| 6 | Manipulation system | 3.73E+04 |
| 7 | Oil tank | 8.30E+04 |
| 8 | Motor with a motor housing | 3.27E+04 |
| 9 | Speed reducer | 9.54E+04 |
| 10 | Control system | 3.03E+04 |
According to the calculation result, the reliability quantitative index of the system level of the product can be well distributed to the components/assemblies as required by adopting the correction coefficient reliability distribution method based on the historical data.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and variations could be made by those skilled in the art without departing from the technical principles of the present invention, and such modifications and variations should also be regarded as being within the scope of the invention.
Claims (4)
1. The correction coefficient reliability distribution method based on the historical data is characterized by comprising the following steps of:
S1, taking a basic reliability index in a development task book as a minimum acceptable value, and defining a design input value in a basic reliability allocation activity as an input condition during reliability allocation;
S2, calculating the total failure rate lambda xk and the reliability R x of the mechanical transmission device:
Wherein lambda xt is the total failure rate requirement of the newly-developed product taking the average fault interval time as a parameter; lambda xk is the total failure rate requirement of the newly developed product taking the evaluation of the fault interval mileage as a parameter; v is the average running speed of the vehicle, and the unit is km/h; s is the driving mileage, and the unit is km; MKBF is mean failure distance mileage, MTBF is mean failure time;
S3, collecting fault data of similar products, counting the number of faults, and specifying the faults to each component;
S4, calculating fault proportions of all parts of similar products, wherein the calculation formula is as follows:
Wherein K i is the fault proportion of the ith component, f i is the fault number of the ith component, and n is the number of the ith component in the integrated transmission device;
s5, calculating the failure rate of each part of the newly-ground product, wherein the calculation formula is as follows:
λoi＝λxk×Ki
Wherein lambda oi is the failure rate of the ith component of the newly developed integrated transmission device based on the fault history data;
S6, calculating new characteristic scores of all parts according to the characteristics of newly-ground products; the new characteristic score is subjectively scored by an expert group from six dimensions of product complexity, environmental conditions, load frequency, design technology maturity, manufacturing technology maturity and maintenance difficulty, the result after scoring and averaging is marked as X ij, j=1, 2,3,4,5 and 6, the score value range is 1-10 points, and the score value is high, which represents high allowable failure rate; multiplying the six dimensional scoring results of a part to obtain an average score X i for the part,
Determining respective weighting coefficients y ij, j=1, 2,3,4,5 and 6 from the six dimensions by an expert group, wherein the total coefficient is 1, and the weighting coefficients are distributed to the 6 dimensions, and the high score represents high allowable failure rate; recording the new characteristic score of the ith component as W i
Wherein W i is the new characteristic score of the ith component, X ij is the j dimension factor score of the ith component, and y ij is the j dimension factor weighting coefficient of the ith component;
s7, determining a characteristic grading adjustment coefficient of the newly ground product according to the characteristics of the newly ground product
According to the similarity of similar mechanical transmission devices and the credibility of test data, combining factor conditions related to the reliability of the newly-developed mechanical transmission devices, determining an adjustment coefficient between the historical fault number and the newly-developed product characteristic score, defining beta as the newly-developed product characteristic score adjustment coefficient, wherein beta is more than or equal to 0 and less than or equal to 1, and determining the failure rate adjustment coefficient determined by the historical fault number as 1-beta;
S8, comprehensively considering fault history data and grading results of the newly-developed comprehensive transmission device, and calculating final failure rate distribution and average fault interval mileage distribution results
According to the scoring result of the new characteristics of each component, the proportion alpha i of the scoring of each component is calculated, and the calculation formula is as follows:
According to the total failure rate lambda xk of the mechanical transmission device, determining the failure rate lambda xi of each component as follows:
λxi＝λxk×αi
comprehensively considering fault history data and grading results of the newly-ground mechanical transmission device, and calculating the final failure rate lambda xzi of each part of the newly-ground product as follows:
λxzi＝λoi×(1-β)+λxi×β
Further, MKBF i was calculated as:
Wherein MKBF oi is the average inter-fault distance mileage of the newly developed product based on the fault history data, MKBF xi is the average interfailure mileage of the newly developed product based on the new characteristic score,
2. The correction factor reliability allocation method according to claim 1, wherein in step S1, the ratio between the design input value and the lowest acceptable value is 1.25 to 2.
3. The correction factor reliability allocation method according to claim 1, wherein in step S6, product complexity: the evaluation is carried out according to the number of parts and elements in the mechanical transmission device, the complex relation of assembly and the importance of functions, wherein the most complex is 10 minutes, and the simplest is 1 minute; environmental conditions: the worst environmental condition is 10 minutes, and most suitable is 1 minute according to the environmental factors encountered by the mechanical transmission device in the actual task; load frequency: scoring according to the action frequency of external loads received by the mechanical transmission device under different task working conditions, wherein the highest frequency is 10 minutes, and the lowest frequency is 1 minute; degree of design technology maturity: the method is characterized by evaluating the degree to which a new product design technology applied to parts and elements meets the expected equipment application targets in the design stage, wherein the minimum maturity is 10 points and the maximum maturity is 1 point; the maturity of the manufacturing technology: the least mature is 10 points, and the most mature is 1 point, as assessed by the degree to which the part, component, or technology used in the manufacturing process can be converted into weapon system design or production; difficulty in maintenance: the mechanical transmission device is evaluated according to the maintenance time of each part and element of the mechanical transmission device, the importance coefficient of equipment function, the complex relation of equipment subunit assembly and the maintenance environment coefficient, wherein the maintenance is 10 minutes most difficult and 1 minute most easy.
4. The correction factor reliability allocation method according to claim 1, wherein in step S7, β has a value of 0.3 to 0.5.
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