Feature Analysis of Mechanical Fault Signals Based on the Wavelet Transform Technique

Abstract:

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Simulated four different fault signals in the lab, the authors then used wavelet scalogram and amplitude spectrum to make analysis on the above four fault signals and abstract each spectrum characteristics. Wavelet scalogram was able to extract the characteristic’s frequency, show the impact components caused by rub-impact, show the beat phenomenon caused by oil whip and show the irreducible high frequency components as well as the complex low-frequency components. Amplitude spectrum was able to show the energy size distribution at various frequency bands and able to analyze and calculate the relationship between various frequency components. Thus they express the relationship between various frequency banks from a quantitative manner. Therefore, combining the wavelet scalogram and amplitude spectrum when making analysis, as they complement and verify each other, it will enhance the reliability when extract and analyze the characteristics of fault signal.

Info:

Periodical:

Advanced Materials Research (Volumes 139-141)

Edited by:

Liangchi Zhang, Chunliang Zhang and Tielin Shi

Pages:

2502-2505

DOI:

10.4028/www.scientific.net/AMR.139-141.2502

Citation:

B. C. Wang and Z. H. Ren, "Feature Analysis of Mechanical Fault Signals Based on the Wavelet Transform Technique", Advanced Materials Research, Vols. 139-141, pp. 2502-2505, 2010

Online since:

October 2010

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Price:

$35.00

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