Combining the Multi-Genetic Algorithm and Support Vector Machine for Fault Diagnosis of Bearings

Jianbin Xiong, Qinghua Zhang, Qiong Liang, Hongbin Zhu, Haiying Li
2018 Shock and Vibration  
Overstudy or understudy phenomena can sometimes occur due to the strong dependence of support vector machine (SVM) algorithms on particular parameters and the lack of systems theory relating to parameter selection. In this paper, a parameter optimization algorithm for the SVM is proposed based on multi-genetic algorithm. The algorithm optimizes the correlation kernel parameters of the SVM using evolutionary search principles of multiple swarm genetic algorithms to obtain a superior SVM
more » ... n model. The experimental results demonstrate that by combining the genetic algorithm and SVM algorithm, fault diagnosis can be effectively realized for bearings of rotating machinery.
doi:10.1155/2018/3091618 fatcat:473ktmqybbgg3cdgr56zfvrvfm