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논문검색

An Experimental Study of Rotor Fault Detection Using Motor Current Signature Analysis Based on Neural Networks

초록

영어

Now - adays in industrial practices continuous improvement of quality, productivity with lesser operating cost is desirable. To obtain these goals improvement in the maintenance practices and cost reduction are very important. As maintenance personnel, one has to know the reasons of failure, maintenance practices and the knowledge of the state of the art technologies. In most of real time industrial practices induction motors play a significant role and their reliable and safe operations is always desirable. In this paper a comprehensive idea of various faults, causes, detection parameter, techniques and latest trends in the condition monitoring technologies have been incorporated. To illustrate firstly a real time application of rotor fault by conventional Motor Current Signature Analysis (MCSA) based on measurement of sidebands in the stator current spectrum has been demonstrated. Thereafter an intelligent technique based on Neural Networks (NNs) has been proposed; tested and simulated that proclaims reliable and efficient operation.

목차

Abstract
 1. Introduction
 2. Fault Indicator
  2.1. Testing and Monitoring Methods
  2.2 Fault Detection Techniques
 3. Experimental Study
 4. Simulation, Results and Discussions
 5. Conclusions
 References

저자정보

  • Rajul Misra EED, NIT Kurukshetra Haryana-132119, India
  • G. L. Pahuja EED, NIT Kurukshetra Haryana-132119, India

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