Fault Detection in Three-phase Induction Motor based on Data Acquisition and ANN based Data Processing

O. Moldovan, R. Ghincu, Alin Octavian Moldovan, D. Noje, R. Ţarcă
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引用次数: 2

Abstract

The main objective of this paper is to investigate how a failure in the functioning of a normal electrical system represented by a three-phase asynchronous motor will modify the voltages and currents present in the system and if it is possible to design a system that is able to automatically detect the fault, based on the use of modern data acquisition system and powerful computer processing capabilities. The detection of faulty signals is realised using Feedforward Artificial Neural Networks.
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基于数据采集和神经网络数据处理的三相异步电动机故障检测
本文的主要目的是研究以三相异步电动机为代表的正常电气系统的功能故障如何改变系统中存在的电压和电流,以及是否有可能设计一个能够自动检测故障的系统,基于使用现代数据采集系统和强大的计算机处理能力。利用前馈人工神经网络实现了故障信号的检测。
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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