Locating damaging segments in the acceleration signal of an automotive coil spring using the wavelet transform
Teuku Edisah Putra (a*), Shahrum Abdullah (b), Dieter Schramm (c)
a Department of Mechanical Engineering,
Universitas Syiah Kuala - 23111 Banda Aceh - Indonesia
edi[at]unsyiah.ac.id
b Department of Mechanical and Materials Engineering,
Universiti Kebangsaan Malaysia - 43600 UKM-Bangi - Malaysia
c Departmental Chair of Mechatronics,
Universität Duisburg-Essen - 47057 Duisburg - Germany
Abstract
This work presents a wavelet-based analysis for locating higher amplitude segments of an acceleration signal. The acceleration signal was measured at an automotive coil spring driven on a public road surface using an accelerometer and a data acquisition to record the signal. The wavelet coefficient provided the energy distributions of a particular time and frequency. The energy was then utilized to locate the damaging segments in the acceleration signal. When the damaging segments were recombined into a single acceleration signal, it has an equivalent behavior with less than 10 % difference in terms of statistical parameters. It proved that the method successfully located the damaging segments in the acceleration signal.
Keywords: Energy; Power spectral density; statistics; vibration
Topic: Mechanical Engineering