Failure symptom early recognition method of bearing of final drive of automobile

A main reducer, early identification technology, applied in the field of early identification of bearing failure signs of automobile main reducer, reducer failure identification, can solve the problem of ambiguity of appearance and cause, difficulty in distinguishing multiple faults, deterioration of operating state, etc. Achieve high reliability, good early fault identification ability, complete identification and judgment effect

Inactive Publication Date: 2017-05-31
HEILONGJIANG HENGNENG SELF CONTROL TECH CO LTD
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Bearing is one of the most commonly used general parts in automobiles. Whether its operation is normal or not is related to the working condition of the whole vehicle, especially the main tooth bearing in the main reducer of the automobile. Consistent, during the operation of the car, it is also subjected to alternating vibration and shock, which is prone to failure. After the bearing failure occurs, the operating state will gradually deteriorate until it is paralyzed. This requires early identification, judgment and evaluation of bearing failure. The failure forms of bearings are diverse, and a cause of failure will also show multiple failure symptoms. There is ambiguity between the appearance and the cause; therefore, using the fuzzy pattern recognition method to describe the operating state of the bearing, for a single sensor, It is difficult to distinguish multiple faults in the same symptom domain in bearing fault diagnosis

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] A method for early identification of bearing failure symptoms of an automobile final drive, comprising the following steps:

[0014] Step 1: Estimate the life of the main tooth bearing of the automobile main reducer, and carry out experimental research on the failure of the main tooth bearing;

[0015] The second step: In order to evaluate and judge the early identification of bearing failure symptoms, the evaluation method of information fusion combining fuzzy theory and Dempster-Shafer evidence theory is used to deal with the uncertainty of information;

[0016] Step 3: Analysis and fusion of multiple sensors in the test area on the same side.

[0017] Wherein, in the test, a vibration acceleration sensor, a noise sensor and an infrared temperature sensor are used to simulate the running state of the car.

[0018] The test results show that the operating state of the bearing can be obtained from the redundant information within a single symptom, which produces a more...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a failure symptom early recognition method of a bearing of a final drive of an automobile. The method includes following steps: step 1, performing lifetime pre-estimation on the bearing of a main gear of the final drive of the automobile, and developing a test research on the failure of the bearing of the main gear; step 2, processing information uncertainty by employing an information integration estimation method combined by a fuzzy theory and a Dempster-Shafer evidence theory; and step 3, performing analysis fusion on multiple sensors at the same test area. According to the failure symptom early recognition method of the bearing of the final drive of the automobile, the fact that the operation state of the bearing belongs to single symptoms can be obtained from redundant information, recognition and determination which are more accurate and complete than single information sources can be generated, the lack of the priori probability is avoided, and the goal of failure symptom recognition is achieved.

Description

technical field [0001] The invention relates to a speed reducer failure identification method, in particular to a method for early identification of bearing failure symptoms of an automobile main speed reducer, and belongs to the technical field of speed reduction products. Background technique [0002] Bearing is one of the most commonly used general parts in automobiles. Whether its operation is normal or not is related to the working condition of the whole vehicle, especially the main tooth bearing in the main reducer of the automobile. Consistent, during the operation of the car, it is also subjected to alternating vibration and shock, which is prone to failure. After the bearing failure occurs, the operating state will gradually deteriorate until it is paralyzed. This requires early identification, judgment and evaluation of bearing failure. The failure forms of bearings are diverse, and a cause of failure will also show multiple failure symptoms. There is ambiguity bet...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/04
CPCG01M13/04
Inventor 焦国昌
Owner HEILONGJIANG HENGNENG SELF CONTROL TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products