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Condition Monitoring of DC Motor using Artificial Intelligence Technique


Aakash M. Kubavat , G.E.C, Bhuj, Gujarat.; Hardik H. Raval, G.E.C, Bhuj, Gujarat


DC motors, artificial intelligence, monitoring, fuzzy logic.


The complexity of most steel industry always tends to create a problem in monitoring and supervision system. Prompt fault detection and diagnosis is a best way to handle and tackle this problem. Dc motor plays a very vital role in steel industry and there is a strong demand for their reliable and safe operation. The history of fault diagnosis and protection of electrical machines is as old as such machines themselves. However, nowadays, condition monitoring of electrical machines has become increasingly essential. It plays a very important role in their safe operation and helps to avoid heavy production losses in industry. The conditioning monitoring and fault-detection techniques of electrical machines have moved in recent years into artificial intelligence techniques. When an artificial intelligence technique is used, fault detection and evaluation can be accomplished without an expert. In this paper, artificial intelligence (AI) techniques are used to build a condition monitoring system that has incremental learning capabilities. The condition-monitoring of dc motor using AI technique schemes have concentrated on sensing specific failure modes in field windings.

Other Details

Paper ID: IJSRDV1I3007
Published in: Volume : 1, Issue : 3
Publication Date: 01/06/2013
Page(s): 428-431

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