Time-Frequency Features of Signal Analysis and its Application in Mechanical Fault Diagnosis

Zhong Hui Luo; Qi Jun Xiao

doi:10.4028/www.scientific.net/AMR.834-836.1065

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 834-836Time-Frequency Features of Signal Analysis and its...

Time-Frequency Features of Signal Analysis and its Application in Mechanical Fault Diagnosis

Abstract:

The early fault detection of mechanical equipment is the technical support of automation equipment to run efficiently. Because of various faults have the characteristics of sudden, transient degeneration, so the traditional Fourier transform based on signal processing method can't meet the needs of the transient signal. This paper discusses time-frequency analysis technology of local wave from signal denoising, signal singularity detection and signal frequency band energy distribution analysis to extract the transient signal characteristics, and the motor bearing fault is put forward as an example, the effectiveness of the proposed method is verified.

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Periodical:

Advanced Materials Research (Volumes 834-836)

Pages:

1065-1068

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.834-836.1065

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Online since:

October 2013

Authors:

Zhong Hui Luo, Qi Jun Xiao*

Keywords:

Fault Diagnosis, Feature Extraction, Time-Frequency, Wavelet Transform (WT)

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* - Corresponding Author

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