PARAMETER SELF-MODIFICATION METHOD FOR SPM USING IN ROLLING BEARING FAULT DIAGNOSIS

Abstract

Abstract: Shock pulse method (SPM) is introduced. This method is applied to rolling bearing condition monitoring and fault diagnosis. Neural networks based parameter self-modification strategy using for SPM are presented. The system has been working in industry site on-line. The long period of perfect running has proved that the system can highly improve the accuracy of fault diagnosis.

Key words: Neural networks, Parameter self-modification, Rolling bearing, Shock pulse method

CLC Number:

TK45 TP18

Huang Hai;Wang Xiaoping;Zhang Weidong. PARAMETER SELF-MODIFICATION METHOD FOR SPM USING IN ROLLING BEARING FAULT DIAGNOSIS[J]. , 1999, 35(2): 85-87.

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PARAMETER SELF-MODIFICATION METHOD FOR SPM USING IN ROLLING BEARING FAULT DIAGNOSIS

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