Application Research on Local Mean Decomposition in Gear Fault Diagnosis

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Journal of Vibration and Shock ›› 2011, Vol. 30 ›› Issue (6) : 196-201.

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Application Research on Local Mean Decomposition in Gear Fault Diagnosis

Tian He1;Yizhou Lin1; PuGang Gao1; Yongjun Shen2

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Abstract

As a new kind of self-adaptation time-frequency analysis approach, Local mean decomposition (LMD) is began to study in the field of fault diagnosis. In this paper, the simulation signal is used to illustrate the effectiveness of the proposed method for processing multi-component modulated signal which expresses the characteristics of fault signals of gear. Then, the LMD method was applied to diagnose gear faults including wear, fracture and spalling by extracting the fault characteristics from the test signals. The analysis results demonstrate that LMD can diagnose gear faults and improve the accuracy of gear fault diagnosis, compared with the traditional demodulation approach

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local mean decomposition / gear / fault diagnosis / Hilbert transform

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Tian He;Yizhou Lin;PuGang Gao;Yongjun Shen. Application Research on Local Mean Decomposition in Gear Fault Diagnosis[J]. Journal of Vibration and Shock, 2011, 30(6): 196-201