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CN107402130B - A kind of wind turbine gearbox fault level evaluation method - Google Patents

A kind of wind turbine gearbox fault level evaluation method Download PDF

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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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Prior art keywords
abrasive grain
gear
gearbox fault
fault
wind turbine
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CN107402130A (en
Inventor
胡志红
张向军
林丽
谢滨
白恺
张秀丽
宋鹏
杨伟新
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State Grid Corp of China SGCC
State Grid Jibei Electric Power Co Ltd
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
Tianjin Institute of Advanced Equipment of Tsinghua University
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State Grid Corp of China SGCC
State Grid Jibei Electric Power Co Ltd
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
Tianjin Institute of Advanced Equipment of Tsinghua University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00Testing of machine parts
    • G01M13/02Gearings; Transmission mechanisms
    • G01M13/021Gearings
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/02Investigating particle size or size distribution
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/04Investigating sedimentation of particle suspensions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/06Investigating 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 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

A kind of wind turbine gearbox fault level evaluation method
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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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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