霍尔效应传感器和人工神经网络在大型异步电动机转子断条诊断中的应用

2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2006-07-12 DOI:10.1109/CIMSA.2006.250744

C. G. Dias, I. Chabu, M. A. Bussab

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引用次数: 8

摘要

本文将神经网络技术应用于大型异步电动机断条的实时诊断。将霍尔效应传感器获得的信号应用于人工神经网络中，用于故障识别和断条数估计。给出了在SIMULINK/MATLAB工具中实现的模型的仿真结果

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Hall Effect Sensor and Artificial Neural Networks Applied on Diagnosis of Broken Rotor Bars in Large Induction Motors

This paper presents the use of the neural networks techniques in order to help on diagnosis of broken bars in large induction motors in real time. The obtained signal of the Hall effect sensor is applied in an artificial neural network to identify a fault and to estimate the number of broken bars. Simulation results are presented from the model implemented in the SIMULINK/MATLAB tool

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2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications

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