Health monitoring of critical power system equipments using identifying codes

Kaustav Basu, Malhar Padhee, Sohini Roy, Anamitra Pal, Arunabha Sen, Matthew Rhodes, Brian Keel

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

7 Scopus citations


High voltage power transformers are one of the most critical equipments in the electric power grid. A sudden failure of a power transformer can significantly disrupt bulk power delivery. Before a transformer reaches its critical failure state, there are indicators which, if monitored periodically, can alert an operator that the transformer is heading towards a failure. One of the indicators is the signal to noise ratio (SNR) of the voltage and current signals in substations located in the vicinity of the transformer. During normal operations, the width of the SNR band is small. However, when the transformer heads towards a failure, the widths of the bands increase, reaching their maximum just before the failure actually occurs. This change in width of the SNR can be observed by sensors, such as phasor measurement units (PMUs) located nearby. Identifying Code is a mathematical tool that enables one to uniquely identify one or more objects of interest, by generating a unique signature corresponding to those objects, which can then be detected by a sensor. In this paper, we first describe how Identifying Code can be utilized for detecting failure of power transformers. Then, we apply this technique to determine the fewest number of sensors needed to uniquely identify failing transformers in different test systems.

Original languageEnglish (US)
Title of host publicationCritical Information Infrastructures Security - 13th International Conference, CRITIS 2018, Revised Selected Papers
EditorsEric Luiijf, Inga Žutautaitė, Bernhard M. Hämmerli
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9783030058487
StatePublished - 2019
Event13th International Conference on Critical Information Infrastructures Security, CRITIS 2018 - Kaunas, Lithuania
Duration: Sep 24 2018Sep 26 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11260 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other13th International Conference on Critical Information Infrastructures Security, CRITIS 2018


  • Identifying codes
  • PMU placement
  • Transformer health

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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