Irregularity Detection In Numerical Signal Using Time-Frequency Analysis

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A., Malik Hamat and M. F., Ghazali and Makeen, Mohd Amin and Fatihah, Adnan (2016) Irregularity Detection In Numerical Signal Using Time-Frequency Analysis. ARPN Journal of Engineering and Applied Sciences, 11 (6). pp. 3593-3597. ISSN 1819-6608

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Official URL: http://www.arpnjournals.org/jeas/research_papers/r...

Abstract

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 timefrequency representation.

Item Type:Article
Uncontrolled Keywords:Irregularity, time-frequency analysis, synchrosqueezed wavelet transform
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Faculty of Mechanical Engineering
ID Code:15432
Deposited By: Noorul Farina Arifin
Deposited On:23 Nov 2016 14:50
Last Modified:23 Aug 2017 12:15

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