Optimized ELM based on Whale Optimization Algorithm for gearbox diagnosis

M. Firdaus Isham, M. Salman Leong, M. H. Lim, Z. A.B. Ahmad, Lim Meng Hee
2019 MATEC Web of Conferences  
Extreme learning machine (ELM) is a fast and quick learning algorithm with better generalization performance. However, the randomness of input weight and hidden layer bias may affect the overall performance of ELM. This paper proposed a new approach to determine the optimized values of input weight and hidden layer bias for ELM using whale optimization algorithm (WOA), which we call WOA-ELM. An online gearbox vibration signals is used in this study. Empirical mode decomposition (EMD) and
more » ... entary mode decomposition (CEEMD) are used to decompose the signals into sub-signals known as intrinsic mode functions (IMFs). Then, statistical features are extracted from selected IMFs. WOA-ELM is used for classification of healthy and faulty condition of gearbox. The result shows that WOA-ELM provide better classification result as compared with conventional ELM. Therefore, this study provide a new diagnosis approach for gearbox application. , 0 (2019) MATEC Web of Conferences
doi:10.1051/matecconf/201925502003 fatcat:qxowpelflzbtrb4yvq4nbyewky