Detectability of rotor failure for induction motors through stator current based on advanced signal processing approaches
| Autor: | Mohamed Boumehraz, Wissam Dehina, Frédéric Kratz |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Signal processing Control and Optimization Stator Computer science Rotor (electric) Mechanical Engineering 02 engineering and technology Fault (power engineering) 01 natural sciences Signal law.invention 020901 industrial engineering & automation Control and Systems Engineering law Modeling and Simulation 0103 physical sciences Electronic engineering Spectrogram Electrical and Electronic Engineering 010301 acoustics Spectral leakage Induction motor Civil and Structural Engineering |
| Zdroj: | International Journal of Dynamics and Control. 9:1381-1395 |
| ISSN: | 2195-2698 2195-268X |
| Popis: | This paper investigated the ability of the diagnosis techniques and detectability of induction motor faults through a stator current. The proposed techniques are based on advanced signal processing tools. These methods can be classified into: high resolution approaches and time–frequency representations. Sadly, the Fast Fourier transform technique cannot give good results such as the spectral leakage, it needs a big number of measurement data samples. To address these problems, the Multiple Signal Classification technique allows for reducing the spectrum noises and to reduce the computation of signal data samples, requires less memory. However, for the diagnosis in time varying conditions, non-stationary approaches are required to diagnose and detection IM failures in variable speed operation or transient. This article is intended for a comparative study between the spectrogram, the scalogram and the Hilbert-Huang transform. In this context, the results exhibit the effectiveness of the methodology to detect induction machine fault in time varying, it is capable to detect a rotor failure. The performances of these approaches are demonstrated in simulation results using the MATLAB environment and in the experimental validation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink