Earticle

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

키워드

저자

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

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605