Reducing cyclic testing time for components of automotive suspension system utilising the wavelet transform and the Fuzzy C-Means

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T.E. Putra, S. Abdullah, D. Schramm, M.Z. Nuawi, T. Bruckmann

2017 Mechanical Systems and Signal Processing Vol. 90 Article Cited by 61 SDG 7SDG 17 Quartile

Abstract

This study aims to introduce a novel method for accelerating fatigue tests. Strain signals measured at automotive suspension components were extracted based on the Morlet wavelet producing damaging segments. Furthermore, the segments were clustered using the Fuzzy C-Means to remove the segments having lower energy. The process was able to shorten the strain signals up to 41.4% and it was able to retain at least 90% of the fatigue damage. It reduced the testing time by more than 33%, with equivalent fatigue life. Indirectly, the use of modified strain signals could reduce device operating costs. © 2016 Elsevier Ltd

Affiliations

Department of Mechanical Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia; Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia, UKM-Bangi, 43600, Malaysia; Departmental Chair of Mechatronics, Universität Duisburg-Essen, Duisburg, 47057, Germany

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