Universiti Teknologi Malaysia Institutional Repository

Time-frequency signal analysis in machinery fault diagnosis: review

Hui, K. H. and Hee, Lim Meng and Leong, Mohd. Salman and Abdelrhman, Ahmed M. (2013) Time-frequency signal analysis in machinery fault diagnosis: review. In: 1st International Materials, Industrial, and Manufacturing Engineering Conference, MIMEC 2013, 4-6 Dec, 2013, Johor Bahru, Malaysia.

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Official URL: http://dx.doi.org/10.4028/www.scientific.net/AMR.8...


Growing demand of machines such as gas turbine, pump, and compressor in power generation, aircraft, and other fields have yielded the transformation of machine maintenance strategy from corrective and preventive to condition-based maintenance. Real-time fault diagnosis has grabbed attention of researchers in looking for a better approach to overcome current limitation. The parameters of health condition in machinery could be monitored thus faults could be detected and diagnosed by using signal analysis approach. Since some fault signals are non-stationary or time dependent in nature, therefore time-frequency signal analysis is crucial for machinery fault diagnosis. Common time-frequency signal analysis methods are such as short time Fourier transform (STFT), wavelets analysis, empirical mode decomposition (EMD), Hilbert-Huang transform (HHT), etc. This review provides a summary of the basic principle of signal analysis, the most recent researches, and some advantages and limitations associated to each types of time frequency signal analysis method.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:time-frequency analysis, wavelet
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:63692
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:15 Jun 2017 02:40
Last Modified:15 Jun 2017 02:40

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