CN103217645B - The blower fan hidden failure monitoring method of wind energy turbine set - Google Patents
The blower fan hidden failure monitoring method of wind energy turbine set Download PDFInfo
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Abstract
A blower fan hidden failure monitoring method for wind energy turbine set, relates to technical field of wind power generation, and what solve is the technical matters reducing hidden failure wrong report, fail to report.The method first measures vibration amplitude during each target component work on every Fans, and adopts the mode of measured value weighted calculation to calculate the vibration performance value of each blower fan, and then calculates the fan vibration weighted value of each blower fan again; Then the fan vibration weighted value of each blower fan is fitted to the fan vibration weighted mean value of wind power plant, and then calculate the fan vibration higher limit of wind power plant, and then the fan vibration higher limit of wind power plant and the vibration performance value of every Fans are compared, thus find out the blower fan that there is hidden failure.Method provided by the invention, is applicable to the fan condition monitoring of wind power plant.
Description
Technical field
The present invention relates to wind generating technology, particularly relate to a kind of technology of blower fan hidden failure monitoring method of wind energy turbine set.
Background technology
When wind power plant (wind energy turbine set) runs, need to carry out Real-Time Monitoring to blower fan (aerogenerator) floor data in wind energy turbine set.According to the ruuning situation severity classification of blower fan, fan operation state is divided into normal condition, hidden failure state, malfunction.When Fan Equipment is in hidden failure state, need Timeliness coverage and get rid of abnormal working environment, otherwise hidden failure can develops into malfunction, cause fan operation equipment to occur potential safety hazard.
Leaf slurry on blower fan, slow-speed shaft bearing, gearbox input shaft, gearbox output shaft, and the operational vibration measured value of the rotary part such as the dynamo bearing at generator drive axle two ends are the emphasis Monitoring Data in blower fan hidden failure status monitoring.But utilize fan vibration measured value to there is following difficult point to monitor fan condition: because blower fan rotary part is more, oscillating region is comparatively wide, and vibration values is transmitted by bearing, and causing has vibration overlaying influence between slewing; The reason affecting fan vibration is numerous, is difficult to determine concrete parts, such as: 1) leaf is starched dust or had foreign matter; 2) bearing decentraction; 3) gear case out of trim; 4) motor vibration, causes fan vibration; 5) blower fan tower centre-of gravity shift and bear a heavy burden asymmetric etc.Therefore, if the vibration measurements of simple certain rotary part of monitoring blower fan, be often subject to the vibration values interference of other rotary parts, cause failing to report and reporting by mistake of fan monitoring system hidden failure.
Summary of the invention
For the defect existed in above-mentioned prior art, technical matters to be solved by this invention is to provide a kind ofly can find out the blower fan that wind power plant exists hidden failure, and can effectively avoid the vibration measurements between target component mutually to disturb, the blower fan hidden failure monitoring method of wind energy turbine set effectively reduce hidden failure wrong report, failing to report.
In order to solve the problems of the technologies described above, the blower fan hidden failure monitoring method of a kind of wind energy turbine set provided by the present invention, it is characterized in that, concrete steps are as follows:
1) to each Fans in wind power plant, measure vibration amplitude during each target component work on this blower fan, and calculate the vibration performance value of this blower fan according to measured value, specific formula for calculation is:
T[i]＝λ
aT
a[i]+λ
bT
b[i]+λ
cT
c[i]+λ
dT
d[i]+λ
eT
e[i]+λ
fT
f[i]；
In formula: 1≤i≤N, λ
a=0.3, λ
b=0.3, λ
c=0.15, λ
d=0.15, λ
e=0.05, λ
f=0.05;
Wherein, the target component of blower fan comprises leaf slurry on blower fan, slow-speed shaft bearing, gearbox input shaft, gearbox output shaft, and the dynamo bearing at generator drive axle two ends;
Wherein, T [i] is the vibration performance value of the i-th Fans in wind power plant, and N is the blower fan quantity in wind power plant;
Wherein, T
a[i] is the vibration amplitude of the leaf oar of the i-th Fans in wind power plant, T
b[i] is the vibration amplitude of the slow-speed shaft bearing of the i-th Fans in wind power plant, T
c[i] is the vibration amplitude of the gearbox input shaft of the i-th Fans in wind power plant, T
d[i] is the vibration amplitude of the gearbox output shaft of the i-th Fans in wind power plant, T
e[i], T
f[i] is the vibration amplitude of the dynamo bearing at the generator drive axle two ends of the i-th Fans in wind power plant;
Wherein, λ
afor leaf oar vibration survey weighted value, λ
bfor slow-speed shaft bear vibration measures weighted value, λ
cfor gearbox input shaft vibration survey weighted value, λ
dfor gearbox output shaft vibration survey weighted value, λ
e, λ
ffor dynamo bearing vibration survey weighted value;
2) calculate the fan vibration weighted value of every Fans in wind power plant, concrete account form is:
Order:
If T [i] > 4Tarv or T [i] < is 0.25Tarv, then make K [i]=0;
If 0.25Tarv < T [i] < is 4Tarv, then make K [i]=1-(T [i]-Tarv)/Tarv;
Wherein, K [i] is the fan vibration weighted value of the i-th Fans in wind power plant;
3) calculate the fan vibration weighted mean value of wind power plant, specific formula for calculation is:
In formula, Tt is the fan vibration weighted mean value of wind power plant;
4) calculate the fan vibration higher limit of wind power plant, specific formula for calculation is:
Tu＝1.1×Tt
In formula: Tu is the fan vibration higher limit of wind power plant;
5) to each Fans in wind power plant, if the vibration performance value of this blower fan is greater than the fan vibration higher limit of wind power plant, namely show that this blower fan exists hidden failure, otherwise then show that this blower fan does not have hidden failure.
Further, there is the blower fan of hidden failure in each detecting for step 5, calculate the historical vibration measured value rate of growth of each target component on this blower fan, and according to result of calculation, by qualitative for target component maximum for historical vibration measured value rate of growth be the hidden failure parts of this blower fan, the computing formula of historical vibration measured value rate of growth is:
θ＝(X1-X2)/(M1-M2)×100％；
Wherein, θ is the historical vibration measured value rate of growth of target component, and M1 is history initial time, and M2 is the history end time, X1 is the historical vibration amplitude that target component records in history initial time, and X2 is the historical vibration amplitude that target component recorded in the history end time.
The blower fan hidden failure monitoring method of wind energy turbine set provided by the invention, first measure the target component vibration amplitude on every Fans, and according to the operating characteristic of different target parts, adopt the mode of measured value weighting, calculate the vibration performance value of every Fans, again the vibration performance value of each blower fan is fitted to analyzable fan vibration weighted mean value, and then draw the fan vibration higher limit of wind power plant, take the mode of across comparison to find out again blower fan that wind power plant exists hidden failure, the weighting of this employing measured value draws fan vibration eigenwert, and each fan vibration eigenwert is fitted to the account form of fan vibration weighted mean value, the blower fan that wind power plant exists hidden failure can be found out, and can effectively avoid the vibration measurements between target component mutually to disturb, effective minimizing hidden failure wrong report, fail to report.
Accompanying drawing explanation
Fig. 1 is the monitoring process flow diagram of the blower fan hidden failure monitoring method of the wind energy turbine set of the embodiment of the present invention.
Embodiment
Illustrate below in conjunction with accompanying drawing and be described in further detail embodiments of the invention, but the present embodiment is not limited to the present invention, every employing analog structure of the present invention and similar change thereof, all should list protection scope of the present invention in.
As shown in Figure 1, the blower fan hidden failure monitoring method of a kind of wind energy turbine set that the embodiment of the present invention provides, it is characterized in that, concrete steps are as follows:
1) to each Fans in wind power plant, measure vibration amplitude during each target component work on this blower fan, and calculate the vibration performance value of this blower fan according to measured value, specific formula for calculation is:
T[i]＝λ
aT
a[i]+λ
bT
b[i]+λ
cT
c[i]+λ
dT
d[i]+λ
eT
e[i]+λ
fT
f[i]；
In formula: 1≤i≤N, λ
a=0.3, λ
b=0.3, λ
c=0.15, λ
d=0.15, λ
e=0.05, λ
f=0.05;
Wherein, the target component of blower fan comprises leaf slurry on blower fan, slow-speed shaft bearing, gearbox input shaft, gearbox output shaft, and the dynamo bearing at generator drive axle two ends;
Wherein, T [i] is the vibration performance value of the i-th Fans in wind power plant, and N is the blower fan quantity in wind power plant;
Wherein, T
a[i] is the vibration amplitude of the leaf oar of the i-th Fans in wind power plant, T
b[i] is the vibration amplitude of the slow-speed shaft bearing of the i-th Fans in wind power plant, T
c[i] is the vibration amplitude of the gearbox input shaft of the i-th Fans in wind power plant, T
d[i] is the vibration amplitude of the gearbox output shaft of the i-th Fans in wind power plant, T
e[i], T
f[i] is the vibration amplitude of the dynamo bearing at the generator drive axle two ends of the i-th Fans in wind power plant;
Wherein, λ
afor leaf oar vibration survey weighted value, λ
bfor slow-speed shaft bear vibration measures weighted value, λ
cfor gearbox input shaft vibration survey weighted value, λ
dfor gearbox output shaft vibration survey weighted value, λ
e, λ
ffor dynamo bearing vibration survey weighted value;
2) calculate the fan vibration weighted value of every Fans in wind power plant, concrete account form is:
Order:
If T [i] > 4Tarv or T [i] < is 0.25Tarv, then make K [i]=0;
If 0.25Tarv < T [i] < is 4Tarv, then make K [i]=1-(T [i]-Tarv)/Tarv;
Wherein, K [i] is the fan vibration weighted value of the i-th Fans in wind power plant;
3) calculate the fan vibration weighted mean value of wind power plant, specific formula for calculation is:
In formula, Tt is the fan vibration weighted mean value of wind power plant;
4) calculate the fan vibration higher limit of wind power plant, specific formula for calculation is:
Tu＝1.1×Tt
In formula: Tu is the fan vibration higher limit of wind power plant;
5) to each Fans in wind power plant, if the vibration performance value of this blower fan is greater than the fan vibration higher limit of wind power plant, namely show that this blower fan exists hidden failure, otherwise then show that this blower fan does not have hidden failure.
In the embodiment of the present invention, there is the blower fan of hidden failure in each detecting for step 5, calculate the historical vibration measured value rate of growth of each target component on this blower fan, and according to result of calculation, by qualitative for target component maximum for historical vibration measured value rate of growth be the hidden failure parts of this blower fan, the computing formula of historical vibration measured value rate of growth is:
θ＝(X1-X2)/(M1-M2)×100％；
Wherein, θ is the historical vibration measured value rate of growth of target component, and M1 is history initial time, and M2 is the history end time, X1 is the historical vibration amplitude that target component records in history initial time, and X2 is the historical vibration amplitude that target component recorded in the history end time;
Wherein, M1, M2 are accurate to minute.
Claims (2)
1. a blower fan hidden failure monitoring method for wind energy turbine set, it is characterized in that, concrete steps are as follows:
1) to each Fans in wind power plant, measure vibration amplitude during each target component work on this blower fan, and calculate the vibration performance value of this blower fan according to measured value, specific formula for calculation is:
T[i]＝λ
aT
a[i]+λ
bT
b[i]+λ
cT
c[i]+λ
dT
d[i]+λ
eT
e[i]+λ
fT
f[i]；
In formula: 1≤i≤N, λ
a=0.3, λ
b=0.3, λ
c=0.15, λ
d=0.15, λ
e=0.05, λ
f=0.05;
Wherein, the target component of blower fan comprises leaf slurry on blower fan, slow-speed shaft bearing, gearbox input shaft, gearbox output shaft, and the dynamo bearing at generator drive axle two ends;
Wherein, T [i] is the vibration performance value of the i-th Fans in wind power plant, and N is the blower fan quantity in wind power plant;
Wherein, T
a[i] is the vibration amplitude of the leaf oar of the i-th Fans in wind power plant, T
b[i] is the vibration amplitude of the slow-speed shaft bearing of the i-th Fans in wind power plant, T
c[i] is the vibration amplitude of the gearbox input shaft of the i-th Fans in wind power plant, T
d[i] is the vibration amplitude of the gearbox output shaft of the i-th Fans in wind power plant, T
e[i], T
f[i] is the vibration amplitude of the dynamo bearing at the generator drive axle two ends of the i-th Fans in wind power plant;
Wherein, λ
afor leaf oar vibration survey weighted value, λ
bfor slow-speed shaft bear vibration measures weighted value, λ
cfor gearbox input shaft vibration survey weighted value, λ
dfor gearbox output shaft vibration survey weighted value, λ
e, λ
ffor dynamo bearing vibration survey weighted value;
2) calculate the fan vibration weighted value of every Fans in wind power plant, concrete account form is:
Order:
If T [i] > 4Tarv or T [i] < is 0.25Tarv, then make K [i]=0;
If 0.25Tarv < T [i] < is 4Tarv, then make K [i]=1-(T [i]-Tarv)/Tarv;
Wherein, K [i] is the fan vibration weighted value of the i-th Fans in wind power plant;
3) calculate the fan vibration weighted mean value of wind power plant, specific formula for calculation is:
In formula, Tt is the fan vibration weighted mean value of wind power plant;
4) calculate the fan vibration higher limit of wind power plant, specific formula for calculation is:
Tu＝1.1×Tt
In formula: Tu is the fan vibration higher limit of wind power plant;
5) to each Fans in wind power plant, if the vibration performance value of this blower fan is greater than the fan vibration higher limit of wind power plant, namely show that this blower fan exists hidden failure, otherwise then show that this blower fan does not have hidden failure.
2. the blower fan hidden failure monitoring method of wind energy turbine set according to claim 1, it is characterized in that: each detecting for step 5 exists the blower fan of hidden failure, calculate the historical vibration measured value rate of growth of each target component on this blower fan, and according to result of calculation, by qualitative for target component maximum for historical vibration measured value rate of growth be the hidden failure parts of this blower fan, the computing formula of historical vibration measured value rate of growth is:
θ＝(X1-X2)/(M1-M2)×100％；
Wherein, θ is the historical vibration measured value rate of growth of target component, and M1 is history initial time, and M2 is the history end time, X1 is the historical vibration amplitude that target component records in history initial time, and X2 is the historical vibration amplitude that target component recorded in the history end time.
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| CN111736549A (en) * | 2020-06-11 | 2020-10-02 | 上海申瑞继保电气有限公司 | Production line energy-saving auxiliary equipment control method |
| CN114281013A (en) * | 2021-08-30 | 2022-04-05 | 武钢集团昆明钢铁股份有限公司 | High-precision fan shaft vibration protection control device and method thereof |
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Denomination of invention: Covert fault monitoring method for fan of wind farm Effective date of registration: 20200527 Granted publication date: 20151202 Pledgee: Bank of China Limited by Share Ltd. Hohhot Yuquan branch Pledgor: INNER MONGOLIA DONGRUN ENERGY TECHNOLOGY Co.,Ltd. Registration number: Y2020150000021 |
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Denomination of invention: Hidden fault monitoring method of wind turbine in wind farm Effective date of registration: 20210629 Granted publication date: 20151202 Pledgee: Bank of China Limited by Share Ltd. Hohhot Yuquan branch Pledgor: INNER MONGOLIA DONGRUN ENERGY TECHNOLOGY Co.,Ltd. Registration number: Y2021150000053 |
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Denomination of invention: Hidden fault monitoring method of wind turbine in wind farm Effective date of registration: 20220610 Granted publication date: 20151202 Pledgee: Bank of China Limited by Share Ltd. Hohhot Yuquan branch Pledgor: INNER MONGOLIA DONGRUN ENERGY TECHNOLOGY Co.,Ltd. Registration number: Y2022150000051 |
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