CN107402130A - A kind of wind turbine gearbox fault level evaluation method - Google Patents
A kind of wind turbine gearbox fault level evaluation method Download PDFInfo
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- CN107402130A CN107402130A CN201710713551.6A CN201710713551A CN107402130A CN 107402130 A CN107402130 A CN 107402130A CN 201710713551 A CN201710713551 A CN 201710713551A CN 107402130 A CN107402130 A CN 107402130A
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- 238000011156 evaluation Methods 0.000 title claims abstract description 16
- 239000002245 particle Substances 0.000 claims abstract description 49
- 239000012530 fluid Substances 0.000 claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 14
- 230000001186 cumulative effect Effects 0.000 claims abstract description 11
- 239000012208 gear oil Substances 0.000 claims abstract description 7
- 239000006061 abrasive grain Substances 0.000 claims abstract description 5
- 239000008187 granular material Substances 0.000 claims description 18
- 239000013528 metallic particle Substances 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 230000015556 catabolic process Effects 0.000 abstract description 2
- 238000009825 accumulation Methods 0.000 abstract 1
- 238000000034 method Methods 0.000 description 6
- 239000003921 oil Substances 0.000 description 6
- 230000005294 ferromagnetic effect Effects 0.000 description 5
- 238000005461 lubrication Methods 0.000 description 4
- 230000005291 magnetic effect Effects 0.000 description 4
- 238000009434 installation Methods 0.000 description 3
- 238000005299 abrasion Methods 0.000 description 2
- 238000005260 corrosion Methods 0.000 description 2
- 230000007797 corrosion Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000001172 regenerating effect Effects 0.000 description 2
- 208000002697 Tooth Abrasion Diseases 0.000 description 1
- 238000004026 adhesive bonding Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000000686 essence Substances 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002028 premature Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/02—Gearings; Transmission mechanisms
- G01M13/021—Gearings
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/04—Investigating sedimentation of particle suspensions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
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- Chemical & Material Sciences (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Biochemistry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Dispersion Chemistry (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Wind Motors (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention provides a kind of wind turbine gearbox fault level evaluation method, judges gearbox fault degree according to the size of abrasive particle, quantity and cumulative speed in gear oil；First with size, quantity and the cumulative speed of abrasive particle in existing online abrasive grain monitoring sensor real-time display gear oil；Secondly, gearbox fault grade point is calculated；Finally, gearbox fault degree is judged according to the fault level value of calculating.Wind turbine gearbox fault level evaluation method of the present invention can be by monitoring the accumulation situation of wear particle in gear-box fluid; information according to entrained by these particles judges the operation conditions of gear-box; intelligent decision is made to gearbox fault degree, reduces loss caused by shutdown or failure；Operating efficiency of the present invention is high, and automaticity is high, improves the breakdown judge degree of accuracy.
Description
Technical field
The invention belongs to wind turbine gearbox O＆M field, more particularly, to a kind of wind turbine gearbox fault level evaluation side
Method.
Background technology
With the pollution of environment and the shortage of the energy, the development and utilization of regenerative resource is increasingly paid attention in countries in the world.
Wind energy is a kind of environmental protection, the regenerative resource of cleaning, is greatly developed in recent years, the first half of the year in 2015, China's wind-power electricity generation
Industry and enterprise quantity reaches 739, the accumulative installation blower fan unit 9.3 ten thousand in the whole nation, adds up 1.45 hundred million kilowatts of installed capacity.2016
Year, Wind Power In China increases 23,370,000 kilowatts of installation amount newly, adds up 1.69 hundred million kilowatts of installed capacity, wherein, the newly-increased installation of offshore wind turbine
590,000 kilowatts are measured, accumulates 1,630,000 kilowatts of installed capacity.
It is chronically under severe working environment so that the spoilage of blower fan is up to 40% to 50%, and blower fan breaks down
Main portions be gear-box, gear-box once breaks down, it will causes serious economic loss.Generally, gear-box occurs
The reason for failure, mainly there is three：(1) the defects of design production；(2) gear-box vibrations failure；(3) gearbox lubrication is bad
Cause the premature abrasion of bearing, the flank of tooth.In the operation process of gear, the load that flank engagement is born is uneven and gear
It is engaging-in, nibble out caused by impact easily cause the abrasion, spot corrosion, gluing of gear surface, even cause broken teeth when serious.The flank of tooth
Abrasion, spot corrosion etc. can produce abrasive particle, and abrasive particle is the important indicator for reflecting gearbox fault degree.It was verified that work as gear-box
When middle oil liquid abrasive grain quantity increases sharply, often mean that oil clearance is destroyed, gear-box will may destroy.It is logical
The degree of wear for being monitored to the abrasive particle in wind power gear box lubrication oil and can obtaining gear and bearing surface in time is crossed, is judged
The damaged condition of equipment.
At present, in wind power gear box lubrication oil the detection of wear particle mainly by offline inspection and on-line monitoring technique,
The offline inspection cycle is grown, it is impossible to situation caused by reflection gear-box wear particle in real time.On-line monitoring can monitor lubrication in real time
The information of contained wear particle in oil, such as particle size, quantity, accumulative speed, while provide warning function.Wear particle is online
Monitoring technology is to utilize the ferromagnetic property that abrasive particle has in oil product, can be to magnetic when the magnetic of abrasive particle into sensor area to be checked
Field produces disturbance, causes the magnetic flux related to abrasive particle quantity or the magnetic line of force to change, abrasive particle is detected by demarcating
Size, quantity and accumulative speed.Although on-line monitoring sensor can monitor the concrete condition of abrasive particle and provide warning function,
But it still can not effectively judge the fault degree of gear-box, it is impossible to make intelligent decision to the fault level of gear-box, therefore grind
Study carefully wind turbine gearbox fault level forecast model to have important practical significance.
The content of the invention
In view of this, can be with based on the model the present invention is directed to propose a kind of wind turbine gearbox fault level evaluation method
Intuitively judge the fault level of wind turbine gearbox, instruct the operation and maintenance of wind turbine gearbox.
To reach above-mentioned purpose, the technical proposal of the invention is realized in this way：
A kind of wind turbine gearbox fault level evaluation method, according to the size of abrasive particle, quantity and cumulative speed in gear oil
Judge gearbox fault degree.
Further, specifically comprise the following steps：
(1) size, quantity and the cumulative speed of abrasive particle in existing online abrasive grain monitoring sensor collection gear oil are utilized；
(2) gearbox fault grade point f is calculated；
(3) gearbox fault degree is judged according to the fault level value f of calculating.
Further, the step (2) calculates gearbox fault grade point f using following formula：
F=f (a)+f (b)
Wherein
Wherein
Wherein i=1 represents particle size in 0~60 μm of section；
I=2 represents particle size in 60~100 μm of sections；
I=3 represents particle size in 100~200 μm of sections；
I=4 represents particle size in 200~300 μm of sections；
I=5 represents particle size>300μm；
μiThe increased number of factor of influence of abrasive particle is recorded for unit time inner sensor；
RiThe increased number of difference of abrasive particle is recorded for each interval sensor before and after the stipulated time；
T is the unit interval (0~60min) of setting；
SiTo flow through the metallic particles number in each section of sensor in the unit time；
VrTo flow through the fluid volume of sensor in the unit time；
VzFor gear-box fluid cumulative volume；
To correspond to the factor of influence of the granule density in section in unit time gear box fluid；
CiTo correspond to the metallic particles number in section in unit time gear box fluid.
Further,
When f ＜ A, display device are normal；
When A ＜ f ＜ B, display device are abnormal；
When f ＞ B, display device failure；
Wherein, 0<A<500,0<B<500.
Relative to prior art, a kind of wind turbine gearbox fault level evaluation method of the present invention, have following excellent
Gesture：Wind turbine gearbox fault level evaluation method of the present invention can be by monitoring the tired of wear particle in gear-box fluid
Product situation, the information according to entrained by these particles judge the operation conditions of gear-box, intelligence are made to gearbox fault degree
Judge, reduce loss caused by shutdown or failure；Operating efficiency of the present invention is high, and automaticity is high, improves breakdown judge standard
Exactness.
Brief description of the drawings
The accompanying drawing for forming the part of the present invention is used for providing a further understanding of the present invention, schematic reality of the invention
Apply example and its illustrate to be used to explain the present invention, do not form inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is the particle size range of online abrasive particle Sensor monitoring and showing for amounts of particles described in the embodiment of the present invention
It is intended to；
Fig. 2 is the flow chart of the wind turbine gearbox fault level evaluation method described in the embodiment of the present invention.
Embodiment
It should be noted that in the case where not conflicting, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
Describe the present invention in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
The present invention is intended to provide a kind of wind turbine gearbox fault level evaluation method, can intuitively be judged based on this method
The fault level of wind turbine gearbox, instruct the operation and maintenance of wind turbine gearbox.
To reach above-mentioned purpose, the technical proposal of the invention is realized in this way：
Existing online abrasive grain monitoring sensor can monitor the size of abrasive particle, quantity and cumulative speed in gear oil, no
Particle size range with Sensor monitoring is different, as shown in Figure 1.Note：
(1)ai-1–ai, bi-1–bi--- ferromagnetic particle and non-ferromagnetic debris size range
(2)Xi, Yi--- ferromagnetic particle and non-ferromagnetic debris quantity under different sizes.
Size, size, the shape of abrasive particle reflect the wear form occurred inside gear-box, are arrived according to Sensor monitoring
Grit size, quantity and accumulative speed can speculate the operation conditions of gear-box, and then judge its fault degree, and method flow is such as
Shown in Fig. 2.
The quantity and abrasive particle cumulative speed of abrasive particle reflect the degree of wear or fault type of gear internal generation, the two
It is the important factor for evaluating gearbox fault grade.According to the above, a kind of wind turbine gearbox fault level evaluation side is designed
Method, as shown in formula (1)：
F=f (a)+f (b)
Wherein
Wherein
When f ＜ A, display device are normal；
When A ＜ f ＜ B, display device are abnormal；
When f ＞ B, display device failure；
Wherein, 0<A<500,0<B<500.
Note：F is gearbox fault grade point；
μiThe increased number of factor of influence of abrasive particle is recorded for unit time inner sensor；
RiThe increased number of difference of abrasive particle, wherein R are recorded for each interval sensor before and after the stipulated timeiIt is being set in 0-
Between 500；
T is between the unit set (0~60min), and the time can be set according to on-line monitoring sensing implement body, 5min,
10min or 20min；
SiTo flow through the metallic particles number in each section of sensor in the unit time；
VrTo flow through the fluid volume of sensor in the unit time；
VzFor gear-box fluid cumulative volume；
To correspond to the factor of influence of the granule density in section in unit time gear box fluid, whereinIt is set in 0-
Between 500；
CiTo correspond to the metallic particles number in section in unit time gear box fluid.
In the present embodiment, A=100, B=150 are set.
[example 1]
Sensor record data i=1 --- 0~60 μm of section granule number increases to 38 by 10；
I=2 --- 60~100 μm of section granule numbers increase to 26 by 13；
I=3 --- 100~200 μm of section granule numbers increase to 17 by 10；
I=4 --- 200~300 μm of section granule numbers increase to 6 by 5；
I=5 --->300 μm of section granule numbers increase to 0 by 0；
Vr=200L, Vz=500L, μ1=0.09, μ2=0.20, μ3=0.20, μ4=0.21, μ5=0.30,The number that T=20min exports according to sensor
Value, monitors and is calculated：
S1=38, S2=26, S3=17, S4=6, S5=0；
R1=38-10=28, R2=26-13=13, R3=17-10=7, R4=6-5=1, R5=0-0=0；
Bring value into formula：
F=23.865 is that f ＜ 100 show gear-box normal operation.
[example 2]
Sensor record data i=1 --- 0~60 μm of section granule number increases to 120 by 12
I=2 --- 60~100 μm of section granule numbers increase to 86 by 8
I=3 --- 100~200 μm of section granule numbers increase to 98 by 12
I=4 --- 200~300 μm of section granule numbers increase to 35 by 8
I=5 --->300 μm of section granule numbers increase to 20 by 5
Vr=200L, Vz=500L, μ1=0.09, μ2=0.20, μ3=0.20, μ4=0.21, μ5=0.30,T=20min；
The numerical value exported according to sensor, monitors and is calculated：
S1=120, S2=86, S3=98, S4=35, S5=20；
R1=120-12=108, R2=86-8=78, R3=98-12=86, R4=35-8=27, R5=20-5=15；
c1=300；c2=215；c3=245；c4=87.5；c5=50；
Bringing formula into can obtain：
F=136.21 is that 100 ＜ f ＜ 150 show that exception occurs in gear-box
[example 3]
Sensor record data i=1 --- 0~60 μm of section granule number increases to 300 by 20；
I=2 --- 60~100 μm of section granule numbers increase to 160 by 15；
I=3 --- 100~200 μm of section granule numbers increase to 140 by 13；
I=4 --- 200~300 μm of section granule numbers increase to 80 by 12；
I=5 --->300 μm of section granule numbers increase to 30 by 8；
Vr=200L, Vz=500L, μ1=0.09, μ2=0.20, μ3=0.20, μ4=0.21, μ5=0.30,T=20min；
The numerical value exported according to sensor, monitors and is calculated：
S1=300, S2=160, S3=140, S4=80, S5=30；
R1=300-20=280, R2=160-15=145, R3=140-13=127, R4=80-12=68,
R5=30-8=22；
c1=750；c2=400；c3=350；c4=200；c5=75；
Bringing formula into can obtain：
F=300.93 is that f ＞ 150 show gearbox fault.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God any modification, equivalent substitution and improvements made etc., should be included in the scope of the protection with principle.
Claims (4)
- A kind of 1. wind turbine gearbox fault level evaluation method, it is characterised in that：According to the size of abrasive particle in gear oil, quantity and Cumulative speed judges gearbox fault degree.
- A kind of 2. wind turbine gearbox fault level evaluation method according to claim 1, it is characterised in that：Specifically include as Lower step：(1) size, quantity and the cumulative speed of abrasive particle in existing online abrasive grain monitoring sensor collection gear oil are utilized；(2) gearbox fault grade point f is calculated；(3) gearbox fault degree is judged according to the fault level value f of calculating.
- A kind of 3. wind turbine gearbox fault level evaluation method according to claim 2, it is characterised in that：The step (2) gearbox fault grade point f is calculated using following formula：F=f (a)+f (b)Wherein<mrow> <mi>f</mi> <mrow> <mo>(</mo> <mi>a</mi> <mo>)</mo> </mrow> <mo>=</mo> <munderover> <mo>&Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mn>5</mn> </munderover> <msub> <mi>&mu;</mi> <mi>i</mi> </msub> <msub> <mi>R</mi> <mi>i</mi> </msub> </mrow>Wherein<mrow> <msub> <mi>C</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <mrow> <msub> <mi>S</mi> <mi>i</mi> </msub> <msub> <mi>V</mi> <mi>z</mi> </msub> </mrow> <msub> <mi>V</mi> <mi>r</mi> </msub> </mfrac> </mrow>Wherein i=1 represents particle size in 0~60 μm of section；I=2 represents particle size in 60~100 μm of sections；I=3 represents particle size in 100~200 μm of sections；I=4 represents particle size in 200~300 μm of sections；I=5 represents particle size>300μm；μiThe increased number of factor of influence of abrasive particle is recorded for unit time inner sensor；RiThe increased number of difference of abrasive particle is recorded for each interval sensor before and after the stipulated time；T is the unit interval (0~60min) of setting；SiTo flow through the metallic particles number in each section of sensor in the unit time；VrTo flow through the fluid volume of sensor in the unit time；VzFor gear-box fluid cumulative volume；To correspond to the factor of influence of the granule density in section in unit time gear box fluid；CiTo correspond to the metallic particles number in section in unit time gear box fluid.
- A kind of 4. wind turbine gearbox fault level evaluation method according to claim 2, it is characterised in that：When f ＜ A, display device are normal；When A ＜ f ＜ B, display device are abnormal；When f ＞ B, display device failure；Wherein, 0<A<500,0<B<500.
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Cited By (5)
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| CN110428064A (en) * | 2019-07-18 | 2019-11-08 | 中国石油大学(北京) | Determine the method, apparatus and storage medium of equipment wear degree |
| CN110470822A (en) * | 2019-08-21 | 2019-11-19 | 岭澳核电有限公司 | A kind of nuclear power station equipment wearing monitoring system and method |
| CN111503242A (en) * | 2019-01-30 | 2020-08-07 | 中国航发商用航空发动机有限责任公司 | Fault determination method, device and system, and computer readable storage medium |
| CN112665856A (en) * | 2020-12-16 | 2021-04-16 | 华东交通大学 | Online monitoring system for gear box |
| CN112945551A (en) * | 2021-01-27 | 2021-06-11 | 重庆大学 | Gear ring dynamic deformation detection system and evaluation method |
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| CN112665856A (en) * | 2020-12-16 | 2021-04-16 | 华东交通大学 | Online monitoring system for gear box |
| CN112945551A (en) * | 2021-01-27 | 2021-06-11 | 重庆大学 | Gear ring dynamic deformation detection system and evaluation method |
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| Publication number | Publication date |
|---|---|
| CN107402130B (en) | 2019-05-10 |
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