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A fault level evaluation method for wind power gearbox

A fault level and gearbox technology, which is applied in the field of grade evaluation, can solve the problems of inability to intelligently judge the fault level of the gearbox and cannot effectively judge the fault degree of the gearbox, and achieve the effects of high automation, high work efficiency, and reduced losses

Active Publication Date: 2019-05-10
TIANJIN RES INST FOR ADVANCED EQUIP TSINGHUA UNIV +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the online monitoring sensor can monitor the specific situation of abrasive particles and provide an early warning function, it cannot effectively judge the fault degree of the gearbox, and cannot make an intelligent judgment on the fault level of the gearbox. important practical significance

Method used

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  • A fault level evaluation method for wind power gearbox
  • A fault level evaluation method for wind power gearbox
  • A fault level evaluation method for wind power gearbox

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0071] Sensor recorded data i=1—the number of particles in the range of 0-60 μm increased from 10 to 38;

[0072] i=2—the number of particles in the range of 60-100 μm increased from 13 to 26;

[0073] i=3—the number of particles in the range of 100-200 μm increased from 10 to 17;

[0074] i=4—the number of particles in the range of 200-300 μm increased from 5 to 6;

[0075] i=5——The number of particles in the >300μm interval increases from 0 to 0;

[0076] Vr=200L, Vz=500L, μ 1 =0.09,μ 2 =0.20,μ 3 =0.20,μ 4 =0.21,μ 5 =0.30, T=20min According to the value output by the sensor, monitor and calculate:

[0077] S 1 =38,S 2 =26,S 3 =17,S 4 = 6, S 5 = 0;

[0078] R 1 =38-10=28, R 2 =26-13=13, R 3 =17-10=7, R 4 =6-5=1, R 5 =0-0=0;

[0079]

[0080]

[0081] Bring the values ​​into the formula:

[0082]

[0083]

[0084] f = 23.865, that is, f < 100 shows that the gearbox is operating normally.

example 2

[0086] The sensor records data i=1—the number of particles in the range of 0-60 μm increases from 12 to 120

[0087] i=2—the number of particles in the range of 60-100 μm increased from 8 to 86

[0088] i=3—the number of particles in the range of 100-200 μm increased from 12 to 98

[0089] i=4—the number of particles in the range of 200-300 μm increased from 8 to 35

[0090] i=5——>The number of particles in the 300μm interval increased from 5 to 20

[0091] Vr=200L, Vz=500L, μ 1 =0.09,μ 2 =0.20,μ 3 =0.20,μ 4 =0.21,μ 5 =0.30, T=20min;

[0092] According to the value output by the sensor, monitor and calculate:

[0093] S 1 =120,S 2 =86,S 3 =98, S 4 =35, S 5 =20;

[0094] R 1 =120-12=108, R 2 =86-8=78, R 3 =98-12=86, R 4 =35-8=27, R 5 =20-5=15;

[0095] c 1 = 300; c 2 = 215; c 3 = 245; c 4 =87.5;c 5 = 50;

[0096] Enter the formula to get:

[0097] f=136.21, that is, 100

example 3

[0099] Sensor recorded data i=1—the number of particles in the range of 0-60 μm increased from 20 to 300;

[0100] i=2—the number of particles in the range of 60-100 μm increased from 15 to 160;

[0101] i=3—the number of particles in the range of 100-200 μm increased from 13 to 140;

[0102] i=4—the number of particles in the range of 200-300 μm increased from 12 to 80;

[0103] i=5——The number of particles in the >300μm interval increased from 8 to 30;

[0104] Vr=200L, Vz=500L, μ 1 =0.09,μ 2 =0.20,μ 3 =0.20,μ 4 =0.21,μ 5 =0.30, T=20min;

[0105] According to the value output by the sensor, monitor and calculate:

[0106] S 1 =300,S 2 =160,S 3 =140, S 4 =80,S 5 = 30;

[0107] R 1 =300-20=280, R 2 =160-15=145, R 3 =140-13=127, R 4 =80-12=68,

[0108] R 5 =30-8=22;

[0109] c 1 = 750; c 2 = 400; c 3 = 350; c 4 = 200; c 5 =75;

[0110] Enter the formula to get:

[0111] f=300.93, that is, f>150 shows that the gearbox is faulty.

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Abstract

The invention provides a wind power gear box fault level evaluation method. According to the method, the fault degree of a gear box is judged according to the size, number and accumulation rate of abrasive particles in gear oil. The method includes the following steps that: an existing online abrasive particle monitoring sensor is used to display the size, number and accumulation rate of the abrasive particles in the gear oil in real time; the fault level value of the gear box is calculated; and the fault level of the gear box is judged according to the calculated fault level value. With the wind power gear box fault level evaluation method of the invention, the accumulation condition of the abrasive particles in the gear oil is monitored; the running condition of the gear box is judged according to the information carried by the particles; the fault level of the gear box is intelligently judged; and therefore, loss caused by shutdown or failure can be decreased. The wind power gear box fault level evaluation method of the present invention has the advantages of high work efficiency and high automation degree, and can improve fault diagnosis accuracy.

Description

technical field [0001] The invention belongs to the field of wind power gearbox operation and maintenance, and in particular relates to a fault level evaluation method of a wind power gearbox. Background technique [0002] With the pollution of the environment and the shortage of energy, countries all over the world pay more and more attention to the development and utilization of renewable energy. Wind energy is an environmentally friendly and clean renewable energy, which has been vigorously developed in recent years. In the first half of 2015, the number of enterprises in my country's wind power industry reached 739, and a total of 93,000 wind turbines were installed nationwide, with a cumulative installed capacity of 145 million kilowatts. In 2016, China's newly installed wind power capacity was 23.37 million kilowatts, with a cumulative installed capacity of 169 million kilowatts. Among them, the newly installed capacity of offshore wind turbines was 590,000 kilowatts, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/021G01N15/02G01N15/04G01N15/06
CPCG01M13/021G01N15/02G01N15/04G01N15/06
Inventor 胡志红张向军林丽谢滨白恺张秀丽宋鹏杨伟新
Owner TIANJIN RES INST FOR ADVANCED EQUIP TSINGHUA UNIV