电气传动2019，Vol.49Issue(10)：96-101,6.DOI:10.19457/j.1001-2095.dqcd18871
基于RMO-BP算法的感应电动机转子断条故障诊断
Broken Rotor Bar Fault Diagnosis Based on RMO-BP Algorithm in Induction Motors
摘要
Abstract
To identify broken rotor bar faults in induction motors accurately and rapidly,a novel method to diagnose broken rotor bar fault on the basis of BP neural network evolved by radial movement optimization(RMO)was proposed. Compared with any other optimization algorithms,RMO,a newly developed global optimization algorithm, has the advantages of faster searching rate,lesser storage space and higher computing precision,and RMO-BP neural network has superior initial weights and threshold,which can further reduce its forecast error and strengthen the classification correctness. The training data and test data of RMO-BP neural network were obtained by extracting the Hilbert modulus of stator current through wavelet energy. The effectiveness and superiority of the proposed method are verified by experiments.关键词
感应电动机/转子断条/径向移动优化算法/BP神经网络/故障诊断Key words
induction motor/broken rotor bar/radial movement optimization algorithm(RMO)/BP neural network/fault diagnosis分类
信息技术与安全科学引用本文复制引用
崔京华,苗旭辉,王惠贞..基于RMO-BP算法的感应电动机转子断条故障诊断[J].电气传动,2019,49(10):96-101,6.基金项目
河北省科技厅项目(15211039) （15211039）
