Fatigue life analysis using wavelet-based signal decomposition Online publication date: Thu, 23-Sep-2021
by Airee Afiq Abd Rahim; Shahrum Abdullah; Salvinder Singh Karam Singh; Mohammad Zaki Nuawi
International Journal of Materials and Product Technology (IJMPT), Vol. 63, No. 3, 2021
Abstract: This study examines the importance of the discrete wavelet transform method for the analysis of the fatigue life of car suspension systems. Issues related to time series data include the loss of important information during signal analysis. In this study, a strain signal was observed under rural road conditions, and the energy spectrum was obtained to extract high-amplitude activities. The signal was then filtered on the basis of the energy spectrum obtained, and the discrete wavelet transform method was applied to each decomposed signal. Significant levels were determined on the basis of the pattern of the decomposed signal, which was then compared with the original signal and the trend of the total number of cycles and energy from the power spectral density for each decomposed signal. Signal levels 1 to 7 remained similar to that of the original. The behaviour of the strain signal was characterised to show the significance levels for fatigue analysis.
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