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

Murtaza Hashmi; M. Lehtonen; Seppo Hänninen

doi:10.1109/CMD.2012.6416309

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

Murtaza Hashmi, M. Lehtonen, Seppo Hänninen

Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

4 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 language	English
Title of host publication	Proceedings
Subtitle of host publication	IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	946-949
ISBN (Electronic)	978-1-4673-1020-8
ISBN (Print)	978-1-4673-1019-2
DOIs	https://doi.org/10.1109/CMD.2012.6416309
Publication status	Published - 2012
MoE publication type	Not Eligible
Event	IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012 - Bali, Indonesia Duration: 23 Sept 2012 → 27 Sept 2012

Conference

Conference	IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012
Abbreviated title	CMD 2012
Country/Territory	Indonesia
City	Bali
Period	23/09/12 → 27/09/12

Keywords

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

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10.1109/CMD.2012.6416309

Cite this

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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.",

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author = "Murtaza Hashmi and M. Lehtonen and Seppo H{\"a}nninen",

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doi = "10.1109/CMD.2012.6416309",

language = "English",

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pages = "946--949",

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note = "IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012, CMD 2012 ; Conference date: 23-09-2012 Through 27-09-2012",

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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. IEEE Institute of Electrical and Electronic Engineers, 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. IEEE Institute of Electrical and Electronic Engineers, 2012. p. 946-949.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Hänninen, Seppo

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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

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BT - Proceedings

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012

Y2 - 23 September 2012 through 27 September 2012

ER -

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

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Keywords

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