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

Author:

Moldovan Ovidiu Gheorghe,Ghincu Remus Vladimir,Moldovan Alin Octavian,Noje Dan,Tarca Radu Catalin

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.

Publisher

Agora University of Oradea

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Experimental Study on the Railway Track Surface Fault Detection with Automation;2023 17th International Conference on Engineering of Modern Electric Systems (EMES);2023-06-09

2. Image Classification of Roughness using Feed Forward Artificial Neural Network;2023 17th International Conference on Engineering of Modern Electric Systems (EMES);2023-06-09

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