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

Murtaza Hashmi, M. Lehtonen, Seppo Hänninen

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

2 Citations (Scopus)

Abstract

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
Subtitle of host publicationIEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages946-949
ISBN (Electronic)978-1-4673-1020-8
ISBN (Print)978-1-4673-1019-2
DOIs
Publication statusPublished - 2012
MoE publication typeNot Eligible
EventIEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012 - Bali, Indonesia
Duration: 23 Sep 201227 Sep 2012

Conference

ConferenceIEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012
Abbreviated titleCMD 2012
CountryIndonesia
CityBali
Period23/09/1227/09/12

Fingerprint

Condition monitoring
Electric power distribution
Failure analysis
Partial discharges
Sensors
Asset management
Inspection
Monitoring
Electric potential
Costs

Keywords

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

Cite this

Hashmi, M., Lehtonen, M., & Hänninen, S. (2012). Intelligent fault diagnosis for on-line condition monitoring in smart distribution networks. In Proceedings: IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012 (pp. 946-949). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/CMD.2012.6416309
Hashmi, Murtaza ; Lehtonen, M. ; Hänninen, Seppo. / Intelligent fault diagnosis for on-line condition monitoring in smart distribution networks. Proceedings: IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012. Institute of Electrical and Electronic Engineers IEEE, 2012. pp. 946-949
@inproceedings{a3f7b0d6be0e47e1847b6a56b6b089a7,
title = "Intelligent fault diagnosis for on-line condition monitoring in smart distribution networks",
abstract = "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.",
keywords = "asset management, condition monitoring, covered-conductor, distribution management system, fault diagnosis, partial discharge, smart distribution networks, wireless sensors",
author = "Murtaza Hashmi and M. Lehtonen and Seppo H{\"a}nninen",
year = "2012",
doi = "10.1109/CMD.2012.6416309",
language = "English",
isbn = "978-1-4673-1019-2",
pages = "946--949",
booktitle = "Proceedings",
publisher = "Institute of Electrical and Electronic Engineers IEEE",
address = "United States",

}

Hashmi, M, Lehtonen, M & Hänninen, S 2012, Intelligent fault diagnosis for on-line condition monitoring in smart distribution networks. in Proceedings: IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012. Institute of Electrical and Electronic Engineers IEEE, pp. 946-949, IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012, Bali, Indonesia, 23/09/12. https://doi.org/10.1109/CMD.2012.6416309

Intelligent fault diagnosis for on-line condition monitoring in smart distribution networks. / Hashmi, Murtaza; Lehtonen, M.; Hänninen, Seppo.

Proceedings: IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012. Institute of Electrical and Electronic Engineers IEEE, 2012. p. 946-949.

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

TY - GEN

T1 - Intelligent fault diagnosis for on-line condition monitoring in smart distribution networks

AU - Hashmi, Murtaza

AU - Lehtonen, M.

AU - Hänninen, Seppo

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - asset management

KW - condition monitoring

KW - covered-conductor

KW - distribution management system

KW - fault diagnosis

KW - partial discharge

KW - smart distribution networks

KW - wireless sensors

U2 - 10.1109/CMD.2012.6416309

DO - 10.1109/CMD.2012.6416309

M3 - Conference article in proceedings

SN - 978-1-4673-1019-2

SP - 946

EP - 949

BT - Proceedings

PB - Institute of Electrical and Electronic Engineers IEEE

ER -

Hashmi M, Lehtonen M, Hänninen S. Intelligent fault diagnosis for on-line condition monitoring in smart distribution networks. In Proceedings: IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012. Institute of Electrical and Electronic Engineers IEEE. 2012. p. 946-949 https://doi.org/10.1109/CMD.2012.6416309