Sideband Harmonics Identification and Application for Slip Estimation of Induction Motors Based on a Self-Adaptive Wiener Filter

被引:0
作者
Fu, Yongsheng [1 ]
Cheng, Lin [2 ]
Yu, Jian [3 ]
Duan, Xiaowei [3 ]
Tian, Hao [2 ,4 ]
机构
[1] Tsinghua Univ, Wuxi Res Inst Appl Technol, Wuxi 214072, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[3] Sinopec Jinling Petrochem Corp, Nanjing 210033, Peoples R China
[4] Wuxi Univ, Dept Automat, Wuxi 214105, Peoples R China
关键词
Induction motors; Rotors; Estimation; Power harmonic filters; Harmonic analysis; Wiener filters; Circuit faults; Fundamental frequency component (FFC); motor current signature analysis (MCSA); sideband harmonics (SBHs); slip estimation; Wiener filter (WF); FAULT-DIAGNOSIS; VIBRATION; BAR;
D O I
10.1109/TIM.2023.3289561
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Due to the strong relationship between the frequencies of sideband harmonics (SBHs) and the slip of induction motors, if the frequencies of SBHs can be efficiently and precisely obtained from the spectrum of the stator current (SC) signal, the slip of induction motors, which is a key factor for motor current signature analysis (MCSA), can be estimated more conveniently, compared with slip estimation through rotor slot or eccentricity harmonics. However, the spectral leakage of the fundamental frequency component (FFC) of the SC signal during Fourier spectrum analysis, which is mainly caused by fluctuation of the fundamental frequency, often covers up the SBHs, imposing great difficulty on the identification of SBHs. Herein, a novel self-adaptive Wiener filter (WF) is proposed to suppress the FFC of the SC signal. Because of the inherent consistency between the frequencies of the FFCs of the supply voltage (SV) and SC signals, the FFC of the SC signal can be estimated with remarkable precision by the FFC of the SV signal, which can be easily extracted through the Fourier transform techniques. Thus, the FFC of the SC signal can be suppressed to a significant extent by subtracting the estimated FFC from the SC signal without obviously impacting other harmonics. In this way, the SBHs can be clearly identified from the spectrum of the filtered SC signal, even when the induction motor operates at relatively low slip, demonstrating the feasibility of utilizing the SBHs for slip estimation.
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页数:12
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