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Intelligent fault diagnosis method for gear box

A technology of intelligent diagnosis and gearbox, applied in the direction of machine gear/transmission mechanism testing, etc., can solve the problems of limited effect of spectrum analysis and diagnosis, limited application of intelligent diagnosis, low accuracy of intelligent diagnosis, etc., so as to improve the success rate of fault diagnosis and improve the Maintenance efficiency and man-hour saving effect

Inactive Publication Date: 2010-03-03
BEIJING UNIV OF TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the diagnostic effect of spectrum analysis is limited, and the knowledge base for intelligent diagnosis is complex, and the accuracy of intelligent diagnosis is relatively low, which limits the application of intelligent diagnosis.

Method used

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  • Intelligent fault diagnosis method for gear box
  • Intelligent fault diagnosis method for gear box
  • Intelligent fault diagnosis method for gear box

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] Such as figure 1 As shown, the embodiment of the method of the present invention is used for intelligent diagnosis of gearbox faults.

[0036] Embodiments of the method of the present invention include:

[0037] Step 1, the step of detecting and making a judgment;

[0038] The result of the judgment is that there is a potential failure or no potential failure;

[0039] Step 2 is to make the following choices based on the judgment result of Step 1:

[0040] The judgment result of step 1 contains potential failures, and an early warning is issued;

[0041] In the judgment result of step 1, there is no hidden trouble, end;

[0042] The step 1 at least includes: a step of case reasoning and making judgment, a step of rule reasoning and making judgment, a step of support vector machine training and judgment;

[0043] The specific steps of case reasoning and judgment are as follows: (such as figure 2 shown)

[0044] Through the research on the common typical fault cha...

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Abstract

The invention discloses an intelligent fault diagnosis method for a gear box, which comprises the steps of detecting and judging, wherein the result of judging is that the hidden trouble of fault exists or does not exist; if so, early warning; if not, finishing. The steps at least comprise case-based reasoning and judging, rule-based reasoning and judging, and SVM judging. The intelligent fault diagnosis method overcomes the defects of the single diagnosis method, such as easy missed diagnosis, difficult obtaining of diagnosis knowledge, and the lack of fault case samples in the existing intelligent diagnosis, can intelligently diagnose the hidden trouble of fault of the gear case, effectively improve fault precision rate of the gear box, realize intelligent diagnosis on the gear box, lower labor intensity of diagnosis personnel and risk of missed diagnosis.

Description

technical field [0001] The invention relates to a method for fault diagnosis of mechanical equipment, in particular to an intelligent diagnosis method for gear box equipment faults. Background technique [0002] A large part of the failures in the production equipment of modern iron and steel production enterprises occur on the gear box equipment. This type of equipment has a complex structure and a high level of automation. Once a sudden failure occurs, it is difficult to maintain and the maintenance cost is very high. It may even cause the entire production to be interrupted and cause huge economic losses. At present, most enterprises diagnose gearbox faults by analyzing the vibration signal spectrum and manually diagnosing them. However, the diagnostic effect of spectrum analysis is limited, and the knowledge base for intelligent diagnosis is complex, and the accuracy of intelligent diagnosis is relatively low, which limits the application of intelligent diagnosis. Con...

Claims

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Application Information

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IPC IPC(8): G01M13/02
Inventor 高立新任志强张建宇胥永刚苏善斌邹江华崔玲丽叶辉胡建云黄坤平
Owner BEIJING UNIV OF TECH
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