Frequency bearing fault detection in non-stationary state operation of induction motors using hybrid approach based on wavelet transforms and pencil matrix

被引：1

作者：

Bouaissi, I. ^{[1
]}

Laib, A. ^{[2
]}

Rezig, A. ^{[1
]}

Mellit, M. ^{[1
]}

Touati, S. ^{[3
]}

Djerdir, A. ^{[4
]}

N'diaye, A. ^{[2
]}

机构：

[1] Jijel Univ, Lab L2EI, Jijel, Algeria

[2] Univ Msila, Dept Elect Engn, Fac Technol, POB 166,Ichebilia, Msila 2800, Algeria

[3] Nucl Res Ctr, Birine, Algeria

[4] UTBM, FEMTO ST Lab, Belfort, France

来源：

ELECTRICAL ENGINEERING | 2024年 / 106卷 / 04期

关键词：

Induction motors; Bearing elements; Wavelet transform; Pencil matrix; Vibration signal; NEURAL-NETWORK; DIAGNOSIS; HARMONICS;

D O I：

10.1007/s00202-023-02235-1

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：

Non-stationary fault detection under bearing fault operation of induction motor is investigated in this paper. For this aim, the vibration signal is analyzed by wavelet method and pencil matrix method. The pencil matrix (PM) or (MP) method has been combined with wavelet transform (WT), in order to reconstruct the non-stationary signal and detect the bearing fault frequency. For validation of results, an experimental setup is used for an induction motor under different load operation and with failure on its inner race. The application of the proposed technique on vibration signal under non-stationary state show that fault can be characterized by a particular signature that it is not possible with fast Fourier transform (FFT).

引用

页码：4397 / 4413

页数：17

共 37 条

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