Fault Diagnosis of Induction Motor Based on Artificial Immune System

摘要：

Based on principles of artificial immune systems,this paper put forward a fault diagnosis method for induction motor. Compared to the traditional negative selection algorithm,this method is added dynamic detector radius variation and immune memory cells,and improved the fault diagnosis detection rate for induction motor .Through simulation and testing,the validity of this method is proved.

关键词： Artificial immune system negative selection induction motor fault diagnosis

作者: Guili Yuan Shiwei Qin Jian Zhang

作者单位: North China Electric Power University,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2583-2586

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）