A Method of Fault Detection and Diagnosis Based on Time-Frequency Analysis

Ying Bo Liang; Li Hong Zhang; Jin Li

doi:10.4028/www.scientific.net/AMR.490-495.1407

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495A Method of Fault Detection and Diagnosis Based on...

A Method of Fault Detection and Diagnosis Based on Time-Frequency Analysis

Abstract:

In the paper the authors propose a combination of the EMD (empirical mode decomposition)method and the wavelet analysis to suppress the noise and fault detection and diagnosis, It adopts empirical mode decomposition to current signal ,obtained a series of IMFs(Intrinsic Mode Function),removing the first IMF component to denosing,and then analyzed multi-scale ,using signal become mutated have the maximum modulus determine the time that the failure appeared ,the results show that this method determine the time that the failure appeared.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

1407-1410

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.1407

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Online since:

March 2012

Authors:

Ying Bo Liang, Li Hong Zhang, Jin Li

Keywords:

Empirical Mode Decomposition (EMD), Fault Diagnosis, Signal Analysis, Signal Denoising

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