CN107402130B - 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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- CN107402130B CN107402130B CN201710713551.6A CN201710713551A CN107402130B CN 107402130 B CN107402130 B CN 107402130B CN 201710713551 A CN201710713551 A CN 201710713551A CN 107402130 B CN107402130 B CN 107402130B
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- 238000011156 evaluation Methods 0.000 title claims abstract description 13
- 239000006061 abrasive grain Substances 0.000 claims abstract description 30
- 239000002245 particle Substances 0.000 claims abstract description 24
- 239000003921 oil Substances 0.000 claims abstract description 20
- 239000007788 liquid Substances 0.000 claims abstract description 15
- 238000012544 monitoring process Methods 0.000 claims abstract description 14
- 230000001186 cumulative effect Effects 0.000 claims abstract description 8
- 239000012208 gear oil Substances 0.000 claims abstract description 7
- 239000008187 granular material Substances 0.000 claims description 18
- 239000013528 metallic particle Substances 0.000 claims description 6
- 230000015556 catabolic process Effects 0.000 abstract description 2
- 238000009825 accumulation Methods 0.000 abstract 1
- 238000000034 method Methods 0.000 description 7
- 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
- 208000002697 Tooth Abrasion Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000004026 adhesive bonding Methods 0.000 description 1
- 230000008859 change Effects 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
- 230000004907 flux Effects 0.000 description 1
- 230000006872 improvement Effects 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
Classifications
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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
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- 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)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
- Wind Motors (AREA)
Abstract
The present invention provides a kind of wind turbine gearbox fault level evaluation methods, judge gearbox fault degree according to the size, quantity of abrasive grain in gear oil and cumulative speed；First with size, quantity and the cumulative speed of abrasive grain in existing online abrasive grain monitoring sensor real-time display gear oil；Secondly, calculating gearbox fault grade point；Finally, the fault level value according to calculating judges gearbox fault degree.Wind turbine gearbox fault level evaluation method of the present invention can pass through the accumulation situation of wear particle in monitoring gear-box oil liquid; the operation conditions of gear-box is judged according to information entrained by these particles; intelligent decision is made to gearbox fault degree, reduces and is lost caused by shutdown or failure；Work efficiency is high by the present invention, and high degree of automation improves breakdown judge accuracy.
Description
Technical field
The invention belongs to wind turbine gearbox O&M fields, more particularly, to a kind of wind turbine gearbox fault level evaluation side
Method.
Background technique
With the pollution of environment and the shortage of the energy, the development and utilization of renewable energy is increasingly paid attention in countries in the world.
Wind energy is a kind of environmentally friendly, clean renewable energy, 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, and accumulative installation blower 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 is up to 40% to 50%, blower breaks down
Main portions be gear-box, gear-box once breaks down, it will causes serious economic loss.In general, gear-box occurs
There are three the reason of failure, is main: (1) defect in design production；(2) gear-box shakes failure；(3) gearbox lubrication is bad
Cause the premature abrasion of bearing, the flank of tooth.In the operation process of gear, load that flank engagement is born is uneven and gear
It is engaging-in, nibble out abrasion, spot corrosion, gluing that the impact generated easily causes gear surface, even cause broken teeth when serious.The flank of tooth
Abrasion, spot corrosion etc. can produce abrasive grain, and abrasive grain is the important indicator for reflecting gearbox fault degree.It was verified that working as gear-box
When middle oil liquid abrasive grain quantity increases sharply, often mean that oil clearance is destroyed, gear-box may will destroy.It is logical
The degree of wear for being monitored to the abrasive grain 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.
Currently, the detection of wear particle mainly passes through offline inspection and on-line monitoring technique in wind power gear box lubrication oil,
The offline inspection period is long, cannot reflect the case where gear-box wear particle generates in real time.On-line monitoring being capable of real-time monitoring lubrication
The information of contained wear particle in oil such as particle size, quantity, accumulative speed, while providing warning function.Wear particle is online
Monitoring technology is the ferromagnetic property having using abrasive grain in oil product, can be to magnetic when abrasive grain enters the magnetic area to be checked of sensor
Field generates disturbance, and magnetic flux relevant to abrasive grain quantity or the magnetic line of force is caused to change, and detects abrasive grain by calibration
Size, quantity and accumulative speed.Although on-line monitoring sensor can monitor the concrete condition of abrasive grain and provide warning function,
But it still cannot effectively judge the fault degree of gear-box, cannot make intelligent decision to the fault level of gear-box, therefore grind
Study carefully wind turbine gearbox fault level prediction model to have important practical significance.
Summary of the invention
It, based on this model can be in view of this, the present invention is directed to propose a kind of wind turbine gearbox fault level evaluation method
The fault level for intuitively judging wind turbine gearbox instructs the operation and maintenance of wind turbine gearbox.
In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:
A kind of wind turbine gearbox fault level evaluation method, according to the size, quantity and cumulative speed of abrasive grain in gear oil
Judge gearbox fault degree.
Further, specifically comprise the following steps:
(1) size, quantity and the cumulative speed of abrasive grain in existing online abrasive grain monitoring sensor acquisition 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 > 300 μm；
μiThe increased number of impact factor of abrasive grain is recorded for unit time inner sensor；
RiThe increased number of difference of abrasive grain is recorded for interval sensor each before and after the stipulated time；
T is the unit time (0~60min) of setting；
SiThe metallic particles number in each section to flow through sensor in the unit time；
VrFor the oil liquid volume for flowing through sensor in the unit time；
VzFor gear-box oil liquid total volume；
For corresponded in unit time gear box oil liquid section granule density impact factor；
CiFor the metallic particles number for corresponding to section in unit time gear box oil liquid.
Further,
As f < A, show that equipment is normal；
As A < f < B, unit exception is shown；
As f > B, equipment fault is shown；
Wherein, 0 < A < 500,0 < B < 500.
Compared with the existing technology, a kind of wind turbine gearbox fault level evaluation method of the present invention has following excellent
Gesture: wind turbine gearbox fault level evaluation method of the present invention can by monitoring gear-box oil liquid wear particle it is tired
Product situation, the operation conditions of gear-box is judged according to information entrained by these particles, makes intelligence to gearbox fault degree
Judgement is reduced and is lost caused by shutdown or failure；Work efficiency is high by the present invention, high degree of automation, improves breakdown judge standard
Exactness.
Detailed description of the invention
The attached drawing for constituting a part of the invention is used to provide further understanding of the present invention, schematic reality of the invention
It applies example and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is showing for the particle size range of online abrasive grain sensor monitoring and amounts of particles described in the embodiment of the present invention
It is intended to；
Fig. 2 is the flow chart of wind turbine gearbox fault level evaluation method described in the embodiment of the present invention.
Specific embodiment
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
The present invention will be described in detail below with reference to the accompanying drawings and 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 instructs the operation and maintenance of wind turbine gearbox.
In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:
Existing online abrasive grain monitoring sensor can monitor the size, quantity and cumulative speed of abrasive grain 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 grain reflect the wear form occurred inside gear-box, are monitored according to sensor
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 grain cumulative speed of abrasive grain 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
As f < A, show that equipment is normal；
As A < f < B, unit exception is shown；
As f > B, equipment fault is shown；
Wherein, 0 < A < 500,0 < B < 500.
Note: f is gearbox fault grade point；
μiThe increased number of impact factor of abrasive grain is recorded for unit time inner sensor；
RiThe increased number of difference of abrasive grain is recorded for interval sensor each before and after the stipulated time, wherein RiIt is being set in 0-
Between 500；
T is between the unit of setting (0~60min), and the time can be arranged according to on-line monitoring sensing implement body, 5min,
10min or 20min；
SiThe metallic particles number in each section to flow through sensor in the unit time；
VrFor the oil liquid volume for flowing through sensor in the unit time；
VzFor gear-box oil liquid total volume；
For corresponded in unit time gear box oil liquid section granule density impact factor, whereinIt is set in 0-
Between 500；
CiFor the metallic particles number for corresponding to section in unit time gear box oil liquid.
In the present embodiment, A=100, B=150 are set.
[example 1]
Data i=1 --- 0~60 μm of section granule number increases to 38 by 10 to sensor record；
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,T=20min is according to sensor
The numerical value of output is monitored 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, that is, f < 100 shows gear-box normal operation.
[example 2]
Data i=1 --- 0~60 μm of section granule number increases to 120 by 12 to sensor record
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；
According to the numerical value that sensor exports, 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:
It is abnormal that the i.e. 100 < f < 150 of f=136.21 show that gear-box occurs
[example 3]
Data i=1 --- 0~60 μm of section granule number increases to 300 by 20 to sensor record；
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；
According to the numerical value that sensor exports, 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, that is, f > 150 shows gearbox fault.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (1)
1. a kind of wind turbine gearbox fault level evaluation method is sentenced according to the size, quantity of abrasive grain in gear oil and cumulative speed
Broken teeth roller box fault degree, which is characterized in that specifically comprise the following steps:
S1. size, quantity and the cumulative speed of abrasive grain in existing online abrasive grain monitoring sensor acquisition gear oil are utilized；
S2. gearbox fault grade point f is calculated；
S3. gearbox fault degree is judged according to the fault level value f of calculating,
Step S2 calculates gearbox fault grade point f using following formula:
F=f (a)+f (b)
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 generation
Table particle size is in 100~200 μm of sections；I=4 represents particle size in 200~300 μm of sections；I=5 represent particle size >
300μm；μiThe increased number of impact factor of abrasive grain is recorded for unit time inner sensor；RiFor section each before and after the stipulated time
Sensor records the increased number of difference of abrasive grain；T is the unit time of setting, specially 0~60min；SiFor in the unit time
Flow through the metallic particles number in each section of sensor；VrFor the oil liquid volume for flowing through sensor in the unit time；VzFor gear
Case oil liquid total volume；For corresponded in unit time gear box oil liquid section granule density impact factor；CiFor unit
The metallic particles number in section is corresponded in time gear box oil liquid,
In step S3, gearbox fault degree is determined according to fault level value f specifically:
As f < A, show that equipment is normal；
As A < f < B, unit exception is shown；
Work as f > B, shows equipment fault；
Wherein, 0 < A < 500,0 < B < 500.
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| CN111503242B (en) * | 2019-01-30 | 2021-12-28 | 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 |
| 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 |
| CN112665856B (en) * | 2020-12-16 | 2023-03-07 | 华东交通大学 | Online monitoring system for gear box |
| CN112945551B (en) * | 2021-01-27 | 2023-06-30 | 重庆大学 | Gear ring dynamic deformation detection system and evaluation method |
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