Industry Based Machine Health Monitoring and Maintenance System

Authors

  • Jagdish A. Pate1  Faculty of Electronics and Telecommunication, Sandip Institute of Technology and Research Center, Nashik, Maharashtra, India
  • Runita Jadhav  UG Scholar, Electronics and Telecommunication, Sandip Institute of Technology and Research Center, Nashik, Maharashtra, India
  • Nayan Khandbahale  UG Scholar, Electronics and Telecommunication, Sandip Institute of Technology and Research Center, Nashik, Maharashtra, India
  • Gayatri Kajale  UG Scholar, Electronics and Telecommunication, Sandip Institute of Technology and Research Center, Nashik, Maharashtra, India

DOI:

https://doi.org//10.32628/IJSRSET12072109

Keywords:

Health Monitoring, Motor Faults, Maintenance of the System.

Abstract

We review existing machine condition monitoring techniques and industrial automation for plant-wide condition monitoring of rotating electrical machines. Cost and complexity of a condition monitoring system increase with the number of measurements, so extensive condition monitoring is currently mainly restricted to the situations where the consequences of poor availability, yield or quality are so severe that they clearly justify the investment in monitoring. There are challenges to obtaining plant-wide monitoring that includes even small machines and non-critical applications. One of the major inhibiting factors is the ratio of condition monitoring cost to equipment cost, which is crucial to the acceptance of using monitoring to guide maintenance for a large fleet of electrical machinery. Ongoing developments in sensing, communication and computation for industrial automation may greatly extend the set of machines for which extensive monitoring is viable.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-04-30

Issue

Volume 7, Issue 2, March-April-2020

Section

Research Articles

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How to Cite

[1]
Jagdish A. Pate1, Runita Jadhav, Nayan Khandbahale, Gayatri Kajale, " Industry Based Machine Health Monitoring and Maintenance System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 2, pp.531-536, March-April-2020. Available at doi : https://doi.org/10.32628/IJSRSET12072109