On-line Rotor Fault Detection In Squirrel Cage Induction Motors Based On Wavelet Analysis

摘要：

As the amplitude of the rotor fault feature components are always submerged in the fundamental components, they are difficult to be detected by the conventional Fourier transform, this paper takes advantage of the distinguishing feature of the wavelet transform in discerning mutable signal to extract them. Firstly, Morlet wavelet is chosen as the mother wavelet, and the current signal of the stator is analyzed by MRA, subsequently, with the reconstruction of the selected sub-spaces the motor’s fault feature components are extracted successfully, which provides an effective way for the on-line diagnosis of the induction motors.

关键词： wavelet transform rotor broken-bar fault diagnosis

作者: Wang Li Wang Xuan Wang Dongxu

作者单位: Missile Institute of Air Force Engineering University, Sanyuan, Shanxi, 713800, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 3854-3856

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）