Irregularity detection in artificial signal using time-frequency analysis

Hamat, A. Malik and M. F., Ghazali and Amin, Makeen and Fatihah, Adnan (2016) Irregularity detection in artificial signal using time-frequency analysis. ARPN Journal of Engineering and Applied Sciences, 11 (6). pp. 3593-3597. ISSN 1819-6608. (Published)

Irregularity detection in artificial signal using time-fkm-2016.pdf

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A typical time signal contain overwhelming amounts of data and some of the signal components represent for irregularity such as crack and leak which greatly important to be identified precisely instead of using traditional method. The strategy can be done using signal processing method through high-quality time-frequency representation (TFR) for analysing such time dependent signals to accurately discover these superposition signal components. A few popular TFR methods such as wavelet transform analysis and relatively new, synchrosqueezed wavelet transform were applied in current study using artificial signal. From the result, both methods successfully discover an irregularity in the signal with different degree of accuracy and it is shown that synchrosqueezed wavelet transform provide the best and detailed time-frequency representation.

Item Type: Article
Uncontrolled Keywords: irregularity, time-frequency analysis, synchrosqueezed wavelet transform
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 12 Mar 2018 01:45
Last Modified: 06 Aug 2018 04:51
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