CN202083555U - System for extracting and diagnosing fault feature of gasoline engine - Google Patents
System for extracting and diagnosing fault feature of gasoline engine Download PDFInfo
- Publication number
- CN202083555U CN202083555U CN 201120172170 CN201120172170U CN202083555U CN 202083555 U CN202083555 U CN 202083555U CN 201120172170 CN201120172170 CN 201120172170 CN 201120172170 U CN201120172170 U CN 201120172170U CN 202083555 U CN202083555 U CN 202083555U
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- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The utility model discloses a system for extracting and diagnosing the fault feature of a gasoline engine. The system consists of a sensor module, an acquiring card and a computer which are sequentially connected, wherein the sensor module comprises a rotating speed sensor and at least one vibration sensor. The system can be used for identifying and diagnosing various common wears and faults such as noise of a piston knock, noise of a piston pin, noise of a connecting rod bearing, noise of a crank bearing is ringing and noise of an air valve. The system can realize detection and diagnosis on common wears and faults under the condition of not disassembling the gasoline engine.
Description
Technical field
The utility model relates to electrical category, and particularly a kind of petrol engine fault signature extracts and diagnostic system.
Background technology
Owing to reasons such as improper are keeped in repair in long-term use friction, wearing and tearing and installation, the adjustment of engine, cause the tolerance clearance of each parts of engine excessive, cause the various abnormal voices of engine.Modal engine scuffing fault has: piston knock rings, the piston pin rings, the connecting-rod bearing rings, crankshaft bearing rings, valve rings etc.The method of widespread usage is observation and sensation and the simple tool by diagnostic personnel, adopts the method for indivedual symptoms amplifications or temporary transient blanking is diagnosed, and this just requires to have suitable knowwhy, operative skill and rich practice experience.Along with the development of modern science technology, people closely cut hope and diagnose the common engine scuffing fault of engine with instrument, improve the objectivity and the accuracy of diagnosis.Find by a large amount of experimental studies,, and then it is carried out energy variation monitor, can diagnose engine whether to have certain fault exactly by the characteristic frequency of the common wear-out failure of extraction engine.
The utility model content
The purpose of this utility model is to extract and the diagnosis identification problem for the characteristic frequency that solves the petrol engine most common failure, provides a kind of petrol engine fault signature to extract and diagnostic system.
The utility model petrol engine fault signature extracts and diagnostic system, is made up of the sensor assembly, capture card and the computing machine that connect successively, and sensor assembly comprises a speed probe and at least one vibration transducer.
Described vibration transducer is piezoelectric ceramics vibration transducer or ICP acceleration transducer; Described speed probe mainly refers to Hall element, photoelectric sensor or magnetoelectric sensor, and whole petrol engine fault signature extracts and diagnostic system will have a vibration transducer and a speed probe at least.
Described capture card is made up of amplifier and A/D converter, is mainly used in the signal condition and the A/D conversion of sensor.Analog input card has signal input, the output more than two tunnel.
The utility model can ring piston knock, the piston pin rings, the connecting-rod bearing rings, crankshaft bearing rings, valve rings several frequently seen wear-out failure and carries out identifying and diagnosing.The utility model can realize that the common wear-out failure of petrol engine is not understood health check-up surveys diagnosis.
Description of drawings
Fig. 1 is the utility model principle schematic.
Fig. 2 is that petrol engine fault signature of the present utility model extracts and the diagnostic process block diagram.
Embodiment
Below in conjunction with accompanying drawing the utility model is described further.
As shown in Figure 1, the utility model is made up of vibration transducer, speed probe, capture card, computing machine, and vibration transducer, speed probe link to each other with capture card, and capture card is made up of amplifier and A/D converter.
Capture card is given computing machine by sensor acquisition petrol engine signal after the processing, computing machine extracts by fault signature and diagnostic routine carries out monitoring, diagnosing to the petrol engine state, and can show and output test result.Wherein, vibration transducer is fixed on the petrol engine monitoring point by magnetic-disc, and speed probe is installed near the petrolic main shaft by support.If what vibration transducer adopted is the ICP acceleration transducer, then adopt constant current source to be the power supply of ICP sensor, guarantee that the ICP sensor is in the standard operation range of current; Simultaneously, in circuit, introduce high-pass filtering circuit, with the DC component signal elimination of 10V in the output signal; At last, in circuit, introduce low-pass filter circuit, eliminated the noise in the circuit.If adopt the piezoelectric ceramics vibration transducer, then adopt charge amplifier to signal gain amplifications and employing filtering circuit.Analog input card is changed by A/D, is the digital signal of isochronic interval with analog-signal transitions, and sample frequency is provided with more than the 20kHz.
Capture card adopt digital signal send into computing machine, the petrol engine fault signature is installed in the computing machine to be extracted and diagnostic routine, as shown in Figure 2, extract and diagnostic routine by the petrol engine fault signature, vibration signal is carried out that characteristic frequency is extracted and calculates energy value in the frequency range, if, illustrating engine less than threshold value, energy value do not have certain fault; Otherwise illustrate to have certain fault, further the trend of position, fault degree and the fault of failure judgement.Adopt the utility model device collection and analytic signal, can in time find fault and warning, also can be through the printer output testing result.Wherein piston knock sound characteristic frequency is 1360-2400Hz; It is 1500-2500Hz that the piston pin rings characteristic frequency; It is 660-860Hz that the connecting-rod bearing rings characteristic frequency; It is 330-605Hz that crankshaft bearing rings characteristic frequency; It is 4600-6800Hz that valve rings characteristic frequency; By the energy variation in the monitoring feature frequency range, can whether certain fault be arranged identification of Engine.
Embodiment recited above is described the utility model preferred implementation; be not that design of the present utility model and scope are limited; under the prerequisite that does not break away from the utility model design philosophy; common engineering technical personnel make the technical solution of the utility model in this area various distortion and improvement all should belong to protection domain of the present utility model.
Claims (3)
1. a petrol engine fault signature extracts and diagnostic system, it is characterized in that: described system is made up of the sensor assembly, capture card and the computing machine that connect successively, and sensor assembly comprises a speed probe and at least one vibration transducer.
2. petrol engine fault signature as claimed in claim 1 extracts and diagnostic system, and it is characterized in that: described capture card is made up of amplifier and A/D converter.
3. petrol engine fault signature as claimed in claim 1 extracts and diagnostic system, and it is characterized in that: described vibration transducer is piezoelectric ceramics vibration transducer or ICP acceleration transducer; Described speed probe is Hall element, photoelectric sensor or magnetoelectric sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201120172170 CN202083555U (en) | 2011-05-26 | 2011-05-26 | System for extracting and diagnosing fault feature of gasoline engine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201120172170 CN202083555U (en) | 2011-05-26 | 2011-05-26 | System for extracting and diagnosing fault feature of gasoline engine |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202083555U true CN202083555U (en) | 2011-12-21 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN 201120172170 Expired - Fee Related CN202083555U (en) | 2011-05-26 | 2011-05-26 | System for extracting and diagnosing fault feature of gasoline engine |
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| CN (1) | CN202083555U (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102635785A (en) * | 2012-02-28 | 2012-08-15 | 中国人民解放军军事交通学院 | Flow monitoring method for un-disassembly hydraulic pipeline |
| CN102680242A (en) * | 2012-06-06 | 2012-09-19 | 哈尔滨工程大学 | Fault diagnosing method for diesel engine based on swarm intelligence |
| CN103091108A (en) * | 2013-01-17 | 2013-05-08 | 商旭升 | Vibration detecting system used for aircraft engine |
| CN104266841A (en) * | 2014-10-11 | 2015-01-07 | 中国石油集团渤海钻探工程有限公司 | Fault diagnosis device and diagnosis method of diesel engine |
| CN105571710A (en) * | 2015-12-11 | 2016-05-11 | 中国航空工业集团公司西安航空计算技术研究所 | Acquisition circuit of airborne vibration signals of engine |
| CN104062585B (en) * | 2014-06-16 | 2016-09-28 | 北京控制工程研究所 | A kind of reliability verification method of hemisphere bearing dynamic pressure motor |
| CN106441554A (en) * | 2016-10-18 | 2017-02-22 | 华南农业大学 | Mountainous orchard double-rail conveyer vibration testing system and testing method |
| CN106470751A (en) * | 2014-07-04 | 2017-03-01 | 克诺尔商用车制动系统有限公司 | Method and apparatus for the Fault Identification in compressed air system |
| CN107367358A (en) * | 2017-07-26 | 2017-11-21 | 安庆市鼎立汽车配件有限公司 | A kind of sealing intelligent detecting method based on the analysis of more valves |
| CN108303262A (en) * | 2018-01-19 | 2018-07-20 | 南京世界村汽车动力有限公司 | A kind of automobile engine on-line monitoring and fault diagnosis system |
| CN108871781A (en) * | 2018-04-25 | 2018-11-23 | 佛山科学技术学院 | A kind of Fault Diagnosis of Engine and its system |
| CN109358593A (en) * | 2018-09-11 | 2019-02-19 | 陕西千山航空电子有限责任公司 | A kind of portable aviation EDPAC Engine Diagnostic Package |
| CN116380444A (en) * | 2023-06-05 | 2023-07-04 | 滨州鲁德曲轴有限责任公司 | Fault sound data processing system and processing method for crankshaft fault analysis |
-
2011
- 2011-05-26 CN CN 201120172170 patent/CN202083555U/en not_active Expired - Fee Related
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102635785A (en) * | 2012-02-28 | 2012-08-15 | 中国人民解放军军事交通学院 | Flow monitoring method for un-disassembly hydraulic pipeline |
| CN102680242A (en) * | 2012-06-06 | 2012-09-19 | 哈尔滨工程大学 | Fault diagnosing method for diesel engine based on swarm intelligence |
| CN102680242B (en) * | 2012-06-06 | 2014-09-17 | 哈尔滨工程大学 | Fault diagnosing method for diesel engine based on swarm intelligence |
| CN103091108A (en) * | 2013-01-17 | 2013-05-08 | 商旭升 | Vibration detecting system used for aircraft engine |
| CN104062585B (en) * | 2014-06-16 | 2016-09-28 | 北京控制工程研究所 | A kind of reliability verification method of hemisphere bearing dynamic pressure motor |
| CN106470751A (en) * | 2014-07-04 | 2017-03-01 | 克诺尔商用车制动系统有限公司 | Method and apparatus for the Fault Identification in compressed air system |
| CN106470751B (en) * | 2014-07-04 | 2020-06-23 | 克诺尔商用车制动系统有限公司 | Method and device for fault detection in compressed air systems |
| CN104266841A (en) * | 2014-10-11 | 2015-01-07 | 中国石油集团渤海钻探工程有限公司 | Fault diagnosis device and diagnosis method of diesel engine |
| CN105571710A (en) * | 2015-12-11 | 2016-05-11 | 中国航空工业集团公司西安航空计算技术研究所 | Acquisition circuit of airborne vibration signals of engine |
| CN106441554A (en) * | 2016-10-18 | 2017-02-22 | 华南农业大学 | Mountainous orchard double-rail conveyer vibration testing system and testing method |
| CN107367358A (en) * | 2017-07-26 | 2017-11-21 | 安庆市鼎立汽车配件有限公司 | A kind of sealing intelligent detecting method based on the analysis of more valves |
| CN108303262A (en) * | 2018-01-19 | 2018-07-20 | 南京世界村汽车动力有限公司 | A kind of automobile engine on-line monitoring and fault diagnosis system |
| CN108871781A (en) * | 2018-04-25 | 2018-11-23 | 佛山科学技术学院 | A kind of Fault Diagnosis of Engine and its system |
| CN109358593A (en) * | 2018-09-11 | 2019-02-19 | 陕西千山航空电子有限责任公司 | A kind of portable aviation EDPAC Engine Diagnostic Package |
| CN116380444A (en) * | 2023-06-05 | 2023-07-04 | 滨州鲁德曲轴有限责任公司 | Fault sound data processing system and processing method for crankshaft fault analysis |
| CN116380444B (en) * | 2023-06-05 | 2023-08-25 | 滨州鲁德曲轴有限责任公司 | Fault sound data processing system and processing method for crankshaft fault analysis |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20111221 Termination date: 20140526 |