Capacitor bank predictive maintenance and problem identification using conventional power quality monitoring systems

Scott R. McCormick, Kyeon Hur, Surya Santoso, Arindam Maitra, Ashok Sundaram

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Functional specifications for an automated capacitor bank predictive maintenance system that works with a conventional power quality monitoring system, are described in this paper. This system uses raw power quality monitoring data to automatically evaluate and characterize transient disturbances and system conditions associated with the operation of capacitor banks, i.e., during energization, de-energization, and when the capacitor bank is in service. The system is composed of six rule-based modules. The main characteristics and requirements of each module are described. An example output of this predictive maintenance system is provided in order to illustrate the utility and adaptability of the system. A brief discussion of the future system development plans concludes the paper.

Original languageEnglish
Title of host publication2004 IEEE Power Engineering Society General Meeting
Pages1846-1850
Number of pages5
Publication statusPublished - 2004
Event2004 IEEE Power Engineering Society General Meeting - Denver, CO, United States
Duration: 2004 Jun 62004 Jun 10

Publication series

Name2004 IEEE Power Engineering Society General Meeting
Volume2

Other

Other2004 IEEE Power Engineering Society General Meeting
CountryUnited States
CityDenver, CO
Period04/6/604/6/10

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    McCormick, S. R., Hur, K., Santoso, S., Maitra, A., & Sundaram, A. (2004). Capacitor bank predictive maintenance and problem identification using conventional power quality monitoring systems. In 2004 IEEE Power Engineering Society General Meeting (pp. 1846-1850). (2004 IEEE Power Engineering Society General Meeting; Vol. 2).