Title: Fatigue time history analysis for determining the strain signal behaviour

Authors: Mohd Faridz Mod Yunoh; Shahrum Abdullah; Zulkifli Mohd Nopiah; Mohd Zaki Nuawi

Addresses: Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environments, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia ' Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environments, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia ' Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environments, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia ' Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environments, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia

Abstract: This paper presents a fatigue time history analysis for determining the strain signal statistical behaviour using a wavelet and fatigue I-kaz approach. The ability of discrete wavelet transform (DWt) in the study is initiated by the high amplitude events identification and extraction based on wavelet coefficients and energy. Recently, there has been a motivation to explore a new approach by the authors, which led to the introduction of kurtosis-based analysis. An experiment has been performed on the car suspension system (coil spring), and the time history signals were collected based on the road surface in a residential area. Seven high amplitude segments, named H1-H7, were extracted based on DWT (Db4) analysis and analysed using fatigue I-kaz approach, which gave the higher values of the coefficients for DWT (Db4) and fatigue I-kaz at 2.02 × 10¹⁰ and 323.96. The discrete energy from the fatigue time history signal influenced the DWT energy coefficients and fatigue I-kaz coefficients.

Keywords: Daubechies wavelet; data scattering; extraction; fatigue I-kaz; non-stationary; fatigue time history; strain signal behaviour; discrete wavelet transform; DWT; kurtosis; vehicle suspension; coil springs; road surfaces; residential areas.

DOI: 10.1504/IJVSMT.2014.066513

International Journal of Vehicle Systems Modelling and Testing, 2014 Vol.9 No.3/4, pp.363 - 371

Published online: 30 Dec 2014 *

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