CN103217645A - Covert fault monitoring method for fan of wind farm - Google Patents
Covert fault monitoring method for fan of wind farm Download PDFInfo
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- CN103217645A CN103217645A CN2013101179194A CN201310117919A CN103217645A CN 103217645 A CN103217645 A CN 103217645A CN 2013101179194 A CN2013101179194 A CN 2013101179194A CN 201310117919 A CN201310117919 A CN 201310117919A CN 103217645 A CN103217645 A CN 103217645A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 15
- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000005259 measurement Methods 0.000 claims description 15
- 239000002002 slurry Substances 0.000 claims description 4
- 238000010248 power generation Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 4
- 230000007257 malfunction Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
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Abstract
The invention discloses a covert fault monitoring method for a fan of a wind farm, relates to the technical field of wind power generation, and solves the technical problems of mis-report and missing report of covert faults. According to the method, the vibration amplitude of each target component in working on each fan is firstly measured, the vibration characteristic value of each fan is computed in a measured value weighting computation mode, and further the fan vibration weighted value of each fan is computed; and then fan vibration weighted values of the fans are fitted to an average fan vibration weighted value of the wind farm, further the upper limit fan vibration value of the wind farm is computed, and then the upper limit fan vibration value of the wind farm is compared with the vibration characteristic value of each fan, so that the fan with covert faults is found. The method disclosed by the invention is suitable for monitoring the states of fans of the wind farm.
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
During wind power plant (wind energy turbine set) operation, need monitor in real time the blower fan in the wind energy turbine set (aerogenerator) floor data.According to the ruuning situation seriousness classification of blower fan, the fan operation state is divided into normal condition, hidden failure state, malfunction.When Fan Equipment is in the hidden failure state, need in time find and get rid of abnormal working environment, otherwise hidden failure can develops into malfunction, causes fan operation equipment potential safety hazard to occur.
Leaf slurry on the blower fan, slow-speed shaft bearing, gearbox input shaft, gearbox output shaft, and the operational vibration measured value of the rotary parts such as dynamo bearing at generator drive axle two ends are the emphasis Monitoring Data in the blower fan hidden failure status monitoring.But utilize the fan vibration measured value to monitor fan condition and exist following difficult point: because the blower fan rotary part is more, oscillating region is wider, and vibration values causes that by the bearing transmission vibration overlaying influence is arranged between the slewing; The reason that influences fan vibration is numerous, is difficult to be determined to concrete parts, such as: 1) leaf is starched dust or foreign matter is arranged; 2) bearing decentraction; 3) gear case out of trim; 4) motor vibration causes fan vibration; 5) blower fan tower weight heart skew and bear a heavy burden asymmetric or the like.Therefore,, tend to be subjected to the vibration values interference of other rotary parts, cause failing to report and reporting by mistake of blower fan supervisory system hidden failure if simply monitor the vibration measurements of certain rotary part of blower fan.
Summary of the invention
At the defective that exists in the above-mentioned prior art, technical matters to be solved by this invention provides a kind ofly can find out the blower fan that there is hidden failure in wind power plant, and can effectively avoid the vibration measurements phase mutual interference between the target component, the blower fan hidden failure monitoring method of the wind energy turbine set of effectively reduce the 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 is characterized in that concrete steps are as follows:
1) to each typhoon machine in the wind power plant, the vibration amplitude when measuring each target component work on this blower fan, and calculate the vibration performance value of this blower fan according to measured value, concrete computing formula 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 the 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, slow-speed shaft bearing, gearbox input shaft, the gearbox output shaft on the blower fan, and the dynamo bearing at generator drive axle two ends;
Wherein, T[i] be the vibration performance value of i typhoon machine in the wind power plant, N is the blower fan quantity in the wind power plant;
Wherein, T
a[i] is the vibration amplitude of the leaf oar of i typhoon machine in the wind power plant, T
b[i] is the slow-speed shaft bearing vibration amplitude of i typhoon machine in the wind power plant, T
c[i] is the vibration amplitude of the gearbox input shaft of i typhoon machine in the wind power plant, T
d[i] is the vibration amplitude of the gearbox output shaft of i typhoon machine in the 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 i typhoon machine in the wind power plant;
2) the fan vibration weighted value of every typhoon machine in the calculating wind power plant, concrete account form is:
Order:
If T[i]＞4Tarv or T[i]＜0.25Tarv, then make K[i]=0;
If 0.25Tarv＜T[i]＜4Tarv, then make K[i]=1-(T[i]-Tarv)/Tarv;
Wherein, K[i] be the fan vibration weighted value of the i typhoon machine in the wind power plant;
3) the fan vibration weighted mean value of calculating wind power plant, concrete computing formula is:
In the formula, Tt is the fan vibration weighted mean value of wind power plant;
4) the fan vibration higher limit of calculating wind power plant, concrete computing formula is:
Tu=1.1×Tt
In the formula: Tu is the fan vibration higher limit of wind power plant;
5),, otherwise show that then this blower fan does not have hidden failure if the vibration performance value of this blower fan, shows promptly that there is hidden failure in this blower fan greater than the fan vibration higher limit of wind power plant to each typhoon machine in the wind power plant.
Further, for step 5 detected each have the blower fan of hidden failure, calculate the historical vibration measurements rate of growth of each target component on this blower fan, and according to result of calculation, with the target component of historical vibration measurements rate of growth maximum qualitative be the hidden failure parts of this blower fan, the computing formula of historical vibration measurements rate of growth is:
θ=（X1-X2）/（M1-M2）×100%；
Wherein, θ is the historical vibration measurements rate of growth of target component, and M1 is historical zero-time, and M2 is the historical concluding time, X1 is the historical vibration amplitude that target component records in historical zero-time, and X2 is the historical vibration amplitude that target component recorded in the historical concluding time.
The blower fan hidden failure monitoring method of wind energy turbine set provided by the invention, measure the target component vibration amplitude on every typhoon machine earlier, and according to the operating characteristic of different target parts, adopt the mode of measured value weighting, calculate the vibration performance value of every typhoon machine, vibration performance value with each blower fan fits to analyzable fan vibration weighted mean value again, and then draw the fan vibration higher limit of wind power plant, take horizontal mode of comparing to find out the blower fan that there is hidden failure in wind power plant again, the weighting of this employing measured value draws the fan vibration eigenwert, reach the account form that each fan vibration eigenwert is fitted to the fan vibration weighted mean value, can find out the blower fan that there is hidden failure in wind power plant, and can effectively avoid the vibration measurements phase mutual interference between the target component, effectively reduce the hidden failure wrong report, fail to report.
Description of drawings
Fig. 1 is the monitoring process flow diagram of blower fan hidden failure monitoring method of the wind energy turbine set of the embodiment of the invention.
Embodiment
Below in conjunction with description of drawings embodiments of the invention are described in further detail, but present embodiment is not limited to the present invention, every employing analog structure of the present invention and similar variation thereof all should be listed 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 invention provided is characterized in that concrete steps are as follows:
1) to each typhoon machine in the wind power plant, the vibration amplitude when measuring each target component work on this blower fan, and calculate the vibration performance value of this blower fan according to measured value, concrete computing formula 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 the 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, slow-speed shaft bearing, gearbox input shaft, the gearbox output shaft on the blower fan, and the dynamo bearing at generator drive axle two ends;
Wherein, T[i] be the vibration performance value of i typhoon machine in the wind power plant, N is the blower fan quantity in the wind power plant;
Wherein, T
a[i] is the vibration amplitude of the leaf oar of i typhoon machine in the wind power plant, T
b[i] is the slow-speed shaft bearing vibration amplitude of i typhoon machine in the wind power plant, T
c[i] is the vibration amplitude of the gearbox input shaft of i typhoon machine in the wind power plant, T
d[i] is the vibration amplitude of the gearbox output shaft of i typhoon machine in the 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 i typhoon machine in the wind power plant;
Wherein, λ
aBe leaf oar vibration survey weighted value, λ
bFor the slow-speed shaft bear vibration is measured weighted value, λ
cBe gearbox input shaft vibration survey weighted value, λ
dBe gearbox output shaft vibration survey weighted value, λ
e, λ
fBe dynamo bearing vibration survey weighted value;
2) the fan vibration weighted value of every typhoon machine in the calculating wind power plant, concrete account form is:
Order:
If T[i]＞4Tarv or T[i]＜0.25Tarv, then make K[i]=0;
If 0.25Tarv＜T[i]＜4Tarv, then make K[i]=1-(T[i]-Tarv)/Tarv;
Wherein, K[i] be the fan vibration weighted value of the i typhoon machine in the wind power plant;
3) the fan vibration weighted mean value of calculating wind power plant, concrete computing formula is:
In the formula, Tt is the fan vibration weighted mean value of wind power plant;
4) the fan vibration higher limit of calculating wind power plant, concrete computing formula is:
Tu=1.1×Tt
In the formula: Tu is the fan vibration higher limit of wind power plant;
5),, otherwise show that then this blower fan does not have hidden failure if the vibration performance value of this blower fan, shows promptly that there is hidden failure in this blower fan greater than the fan vibration higher limit of wind power plant to each typhoon machine in the wind power plant.
In the embodiment of the invention, for step 5 detected each have the blower fan of hidden failure, calculate the historical vibration measurements rate of growth of each target component on this blower fan, and according to result of calculation, with the target component of historical vibration measurements rate of growth maximum qualitative be the hidden failure parts of this blower fan, the computing formula of historical vibration measurements rate of growth is:
θ=（X1-X2）/（M1-M2）×100%；
Wherein, θ is the historical vibration measurements rate of growth of target component, and M1 is historical zero-time, and M2 is the historical concluding time, X1 is the historical vibration amplitude that target component records in historical zero-time, and X2 is the historical vibration amplitude that target component recorded in the historical concluding time;
Wherein, M1, M2 are accurate to minute.
Claims (2)
1. the blower fan hidden failure monitoring method of a wind energy turbine set is characterized in that concrete steps are as follows:
1) to each typhoon machine in the wind power plant, the vibration amplitude when measuring each target component work on this blower fan, and calculate the vibration performance value of this blower fan according to measured value, concrete computing formula 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 the 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, slow-speed shaft bearing, gearbox input shaft, the gearbox output shaft on the blower fan, and the dynamo bearing at generator drive axle two ends;
Wherein, T[i] be the vibration performance value of i typhoon machine in the wind power plant, N is the blower fan quantity in the wind power plant;
Wherein, T
a[i] is the vibration amplitude of the leaf oar of i typhoon machine in the wind power plant, T
b[i] is the slow-speed shaft bearing vibration amplitude of i typhoon machine in the wind power plant, T
c[i] is the vibration amplitude of the gearbox input shaft of i typhoon machine in the wind power plant, T
d[i] is the vibration amplitude of the gearbox output shaft of i typhoon machine in the 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 i typhoon machine in the wind power plant;
2) the fan vibration weighted value of every typhoon machine in the calculating wind power plant, concrete account form is:
Order:
If T[i]＞4Tarv or T[i]＜0.25Tarv, then make K[i]=0;
If 0.25Tarv＜T[i]＜4Tarv, then make K[i]=1-(T[i]-Tarv)/Tarv;
Wherein, K[i] be the fan vibration weighted value of the i typhoon machine in the wind power plant;
3) the fan vibration weighted mean value of calculating wind power plant, concrete computing formula is:
In the formula, Tt is the fan vibration weighted mean value of wind power plant;
4) the fan vibration higher limit of calculating wind power plant, concrete computing formula is:
Tu=1.1×Tt
In the formula: Tu is the fan vibration higher limit of wind power plant;
5),, otherwise show that then this blower fan does not have hidden failure if the vibration performance value of this blower fan, shows promptly that there is hidden failure in this blower fan greater than the fan vibration higher limit of wind power plant to each typhoon machine in the wind power plant.
2. the blower fan hidden failure monitoring method of wind energy turbine set according to claim 1, it is characterized in that: for step 5 detected each have the blower fan of hidden failure, calculate the historical vibration measurements rate of growth of each target component on this blower fan, and according to result of calculation, with the target component of historical vibration measurements rate of growth maximum qualitative be the hidden failure parts of this blower fan, the computing formula of historical vibration measurements rate of growth is:
θ=（X1-X2）/（M1-M2）×100%；
Wherein, θ is the historical vibration measurements rate of growth of target component, and M1 is historical zero-time, and M2 is the historical concluding time, X1 is the historical vibration amplitude that target component records in historical zero-time, and X2 is the historical vibration amplitude that target component recorded in the historical concluding time.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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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 |
| CN114555345A (en) * | 2019-09-12 | 2022-05-27 | 卡莱尔建筑材料有限公司 | System for predicting auger failure in a tire injection filling mixer |
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| CN114555345A (en) * | 2019-09-12 | 2022-05-27 | 卡莱尔建筑材料有限公司 | System for predicting auger failure in a tire injection filling mixer |
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| 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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| CN103217645B (en) | 2015-12-02 |
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Effective date of registration: 20180622 Address after: 010000 the Inner Mongolia Autonomous Region Hohhot Export Processing Zone Management Committee integrated office building four floor 423 Patentee after: INNER MONGOLIA DONGRUN ENERGY TECHNOLOGY CO., LTD. Address before: 200233 5, 12 building, 470 Guiping Road, Xuhui District, Shanghai. Patentee before: Shanghai Sunrise Power Technology Co., Ltd. |
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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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