Intelligent fault diagnosis for on-line condition monitoring in smart distribution networks

Murtaza Hashmi*, Seppo Hänninen, Matti Lehtonen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

3 Citations (Scopus)


Partial discharge (PD) measurements can be regarded as an effective and reliable tool for on-line condition monitoring and asset management of high voltage (HV) apparatus. Recently, a novel application is observed in the monitoring of falling trees on covered-conductor (CC) overhead distribution lines. In this paper, Rogowski and Pearson coils are used as sensors to detect PDs for this specific application. These sensors are non-intrusive and superior to the conventional PD detecting methods. In the next stage of future developments, the wired sensor will be converted into a wireless one. The challenges faced while implementing future wireless technology are also described here. In future, the wireless sensors will be integrated into distribution management system (DMS) to detect and localize the falling trees. The proposed intelligent fault diagnosis system will improve the safety of CC lines and make them more attractive to utilities due to reduced maintenance costs and visual inspection work. In addition, the reliability of the distribution system will improve which is one of the significant characteristics of the future smart distribution networks.

Original languageEnglish
Title of host publicationProceedings of 2012 IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012
Number of pages4
ISBN (Electronic)978-1-4673-1019-2
Publication statusPublished - 2012
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Condition Monitoring and Diagnosis - Bali, Indonesia
Duration: 23 Sep 201227 Sep 2012


ConferenceIEEE International Conference on Condition Monitoring and Diagnosis
Abbreviated titleCMD


  • asset management
  • condition monitoring
  • covered-conductor
  • distribution management system
  • fault diagnosis
  • Partial discharge
  • smart distribution networks
  • wireless sensors

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