Plenary Lecture

Fatigue Data Analysis and Life Assessment Using Signal Processing Approaches

Associate Professor Shahrum Abdullah
Department of Mechanical and Materials Engineering
Faculty of Engineering and Built Environment
Universiti Kebangsaan Malaysia
43600 UKM Bangi, Selangor
MALAYSIA
Email: shahrum@eng.ukm.my; shahrum1@gmail.com

Abstract: This work discusses the fatigue life assessment using signal processing approaches which study on the characteristics of the fatigue signal in frequency and time-frequency domain. The signals used in this research were variable amplitude fatigue signal which consisted of a synthetic data and experimentally measured data. As frequency domain method is one of the techniques to analyse random signal, it can be applied to observe strain characteristic of the signal in frequency domain. Thus, Power Spectral Density (PSD) algorithm was used to gain the power distribution of the input signals. The short-time Fourier transform (STFT), wavelet transform and S-transform methods were also used to transform the input signal into the time-frequency domain. The transformation of time domain signal into time-frequency domain provides the power distribution display with respect to the particular time and frequency information. From the power distribution gained, the fatigue damage features can be identified. Finally, the life estimation of the components can be calculated from all the extracted fatigue features in order to study the durability of an automotive component.




Brief Biography of the Speaker:
Dr. Shahrum Abdullah is the lecturer in Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia. He obtained his first degree in Mechanical Engineering at Universiti Kebangsaan Malaysia in 1995. In 1997, he obtained his MSc (Engineering Design) degree from Loughborough University of United Kingdom. In 2005, Finally, he was awarded the Ph.D. degree in Mechanical Engineering at the University of Sheffield, United Kingdom. His PhD thesis is within the scope of fatigue data analysis using the signal processing method, particularly the wavelet transform, which are the core research activities in his current days. Dr. Shahrum Abdullah authored many papers related to his specialization (engineering design and fatigue life assessment) in many international journals and proceedings.