An Intelligent Harmonic Synthesis Technique for Air-Gap Eccentricity Fault Diagnosis in Induction Mo

• 作 者: De Z.Li Wilson Wang Fathy Ismail
• 机 构: Department of Mechanical Engineering, Lakehead University, Thunder Bay, ON P7B 7C1, Canada;Departmen
• 出 处: 中国机械工程学报
• 发表日期: 2017年6期
• 关键词: Air-gap eccentricity Current signal Fault detection Induction motor

Induction motors (IMs) are commonly used in various industrial applications.To improve energy consumption efficiency,a reliable IM health condition monitoring system is very useful to detect IM fault at its earliest stage to prevent operation degradation,and malfunction of IMs.An intelligent harmonic synthesis technique is proposed in this work to conduct incipient air-gap eccentricity fault detection in IMs.The fault harmonic series are synthesized to enhance fault features.Fault related local spectra are processed to derive fault indicators for IM airgap eccentricity diagnosis.The effectiveness of the proposed harmonic synthesis technique is examined experimentally by IMs with static air-gap eccentricity and dynamic air-gap eccentricity states under different load conditions.Test results show that the developed harmonic synthesis technique can extract fault features effectively for initial IM air-gap eccentricity fault detection.