Life Prediction of Rolling Bearing Using Genetic Algorithm

Abstract

Rolling bearing is the most part used in rotating machinery of industrial plant. The condition diagnosis technology of rolling bearing is very important and indispensable for the plant safety and operation stability. The purpose of this study is to improve the accuracy of the life prediction for a rolling bearing. The paper proposes a searching method for the optimum mathematic function for the high accurate prediction by using the genetic algorithms (GA).

Soft computing methods for fatigue life estimation: A review of the current state and future trends

“…Article/conference paper Publications using genetic algorithms Article Ma et al, 34 Zhang and Lin, 38 Vadood et al, 43 Liu et al, 46 Lotfi and Beiss, 49 Majidian and Saidi, 56 Gao et al, 76 Canyurt, 89 Karakas et al, 90 Chen et al, 91 Kamal et al, 92 Zhang et al, 93 Agius et al 94 and Deveci and Artem 95 Conference paper Susmikanti, 17 Rohman et al, 18 Cai et al, 30 Zhaohua, 35 Tian 79 and Xu and Cui 96 prediction method for different purposes, such as the creation of constant life diagrams. Mohanty et al 101 estimated the fatigue crack growth rate of aluminium alloys (2024-T3) using GP and ANN, whereas GP provided a higher precision than ANN.…”

“…Kong et al, 19 Marquardt and Zenner, 27 Majidian and Saidi, 56 Karakas, 63 Gao et al, 76 Song et al, 81 Canyurt, 89 Chen et al, 91 Xu and Cui 96 and Li 129 Welded structures…”

“…Moghaddam et al, 69 Abdalla and Hawileh, 75 Gao et al, 76 Zhang et al 93 and Zou et al 127 Polynomial models Quadratic Salmalian et al, 14 Salmalian et al 16 and Canyurt 89 Qubic Canyurt 89 Exponential model Mohanty et al, 40 Mohanty, 45 Mohanty et al 58 and Chen et al 91 Conventional models Coffin-Manson Kong et al, 19 Zhang and Lin, 38 Abdalla and Hawileh, 75 Song et al 81 and Basan et al 135…”

“…Junior et al, 26 Al-Assadi et al, 32 Mohanty et al, 40 Uygur et al, 41 Mohanty, 45 Lotfi and Beiss, 49 Razzaq et al, 50 Srinivasan et al, 52 Mathew et al, 57 Al-Assadi et al, 61 El Kadi, 62 Abdalla and Hawileh, 65 Jin et al, 67 Tapkin, 68 Moghaddam et al, 69 Durodola et al, 71 Yan et al, 72 El Kadi and Al-Assaf, 77 Lee et al, 78 Song et al, 81 Chen et al, 91 Azarhoosh et al, 102 El Kadi et al, 125 Gulgec et al 134…”

New Particle Filter Based on GA for Equipment Remaining Useful Life Prediction

“…GA is an artificial intelligent algorithm based on natural selection and genetic mechanism of biological organism evolutionary process [ 24 ]. GA mainly includes selection, crossover, and mutation operations.…”