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用于感应电动机自动故障检测的小波包与模糊逻辑理论

Wavelet packet and fuzzy logic theory for automatic fault detection in induction motor.

作者信息

Talhaoui Hicham, Ameid Tarek, Aissa Oualid, Kessal Abdelhalim

机构信息

LPMRN Laboratory, University of Bordj Bou Arreridj, El Anceur, Algeria.

The Electrotechnical Systems and Environment Research Laboratory (LSEE), Univ. Artois, UR 4025, 62400 Bethune, France.

出版信息

Soft comput. 2022;26(21):11935-11949. doi: 10.1007/s00500-022-07028-5. Epub 2022 Apr 6.

DOI:10.1007/s00500-022-07028-5
PMID:35411204
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8985753/
Abstract

In this paper, a method based on the application of the fuzzy logic technique to diagnose the fault of broken rotor bars in an induction machine has been proposed. Through the decomposition into a wavelet packet, we can detect, identify and prognosis failures in all operating conditions of the machine. The energy calculations for each level of decomposition are richer with the necessary information for fault diagnosis. The latter can be used as input to an intelligent diagnostic system based on fuzzy logic for the detection and classification of the broken bars faults. The advantage of this method is the use of a single current sensor. Indeed, we can detect online, the fault and the number of broken bars with a variable load. The obtained results are very satisfactory. Some results were verified by simulations under MATLAB/Simulink and validated experimentally via dSPACE 1104 card.

摘要

本文提出了一种基于模糊逻辑技术应用的感应电机转子断条故障诊断方法。通过小波包分解，我们可以在电机的所有运行条件下检测、识别和预测故障。各分解层的能量计算包含了更丰富的故障诊断所需信息。这些信息可作为基于模糊逻辑的智能诊断系统的输入，用于检测和分类断条故障。该方法的优点是使用单个电流传感器。实际上，我们可以在变负载情况下在线检测故障和断条数量。所获结果非常令人满意。部分结果通过MATLAB/Simulink下的仿真进行了验证，并通过dSPACE 1104卡进行了实验验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/959281a374d3/500_2022_7028_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/259127c422d0/500_2022_7028_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/ae69e3441080/500_2022_7028_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/60ca5e22ac00/500_2022_7028_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/a970b6d003c2/500_2022_7028_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/de0714b80c76/500_2022_7028_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/7778d6218006/500_2022_7028_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/5611bbbe4bd6/500_2022_7028_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/959281a374d3/500_2022_7028_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/259127c422d0/500_2022_7028_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/ae69e3441080/500_2022_7028_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/60ca5e22ac00/500_2022_7028_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/a970b6d003c2/500_2022_7028_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/de0714b80c76/500_2022_7028_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/7778d6218006/500_2022_7028_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/5611bbbe4bd6/500_2022_7028_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2712/8985753/959281a374d3/500_2022_7028_Fig8_HTML.jpg

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本文引用的文献

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Sci Rep. 2021 Aug 27;11(1):17318. doi: 10.1038/s41598-021-96601-3.
2
Discrete wavelet transform and energy eigen value for rotor bars fault detection in variable speed field-oriented control of induction motor drive.离散小波变换和能量本征值在感应电机驱动变速磁场定向控制中的转子棒故障检测。
ISA Trans. 2018 Aug;79:217-231. doi: 10.1016/j.isatra.2018.04.019. Epub 2018 May 3.
3
Detection of broken rotor bar faults in induction motor at low load using neural network.
基于神经网络的低负载感应电机转子断条故障检测
ISA Trans. 2016 Sep;64:241-246. doi: 10.1016/j.isatra.2016.06.004. Epub 2016 Jun 18.
4
Fast Fourier and discrete wavelet transforms applied to sensorless vector control induction motor for rotor bar faults diagnosis.快速傅里叶变换和离散小波变换应用于无传感器矢量控制感应电机转子导条故障诊断。
ISA Trans. 2014 Sep;53(5):1639-49. doi: 10.1016/j.isatra.2014.06.003. Epub 2014 Jul 5.
5
Induction motors airgap-eccentricity detection through the discrete wavelet transform of the apparent power signal under non-stationary operating conditions.感应电动机在非稳定运行条件下通过视在功率信号的离散小波变换进行气隙偏心检测。
ISA Trans. 2014 Mar;53(2):603-11. doi: 10.1016/j.isatra.2013.12.002. Epub 2014 Jan 23.