Abdelrhman, Ahmed Mohammed and Leong, Mohd. Salman @ Yew Mun and Lim, Meng Hee and Ngui, Wai Keng (2015) A comparative study of reassigned conventional wavelet transform for machinery faults detection. In: Applied Mechanics and Materials, 1-4 Dec, 2015, Batu Pahat, Johor.
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Official URL: https://www.scientific.net/AMM.773-774.90
Abstract
Application of Fast Fourier Transform (FFT) in machinery faults detection is known to be only effective if fault is of repetitive in nature and considering severe. While minor and transient faults are usually remain undetected based on vibration spectrum analysis. Wavelet analysis is relatively new technique which is still suffered from inadequately in its time-frequency resolution. In this paper, ahmedrabak_time wavelet is proposed based on the wavelet reassignment technique for Morlet mother wavelet. The proposed wavelet analysis is compared to the conventional wavelet analysis for machinery faults detection based on simulated signal. The results showed that the proposed wavelet has a better resolution than conventional wavelet analysis which could clearly indicate the presence and the location of the fault.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | fault detection, feature extraction |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Malaysia-Japan International Institute of Technology |
| ID Code: | 61339 |
| Deposited By: | Widya Wahid |
| Deposited On: | 31 Mar 2017 06:44 |
| Last Modified: | 09 Aug 2017 04:13 |
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