Towards a hybrid power cable health index for medium voltage power cable condition monitoring

Jose Ignacio Aizpurua; Brian G. Stewart; Stephen D. J. McArthur; Nitin Jajware; Martin Kearns

Towards a hybrid power cable health index for medium voltage power cable condition monitoring

Jose Ignacio Aizpurua, Brian G. Stewart, Stephen D. J. McArthur, Nitin Jajware, Martin Kearns

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

6 Citations (Scopus)

59 Downloads (Pure)

Abstract

Power cables are critical assets for the safe and cost effective operation of the power grid. However, the health assessment of cables is intricate due to its various degradation mechanisms. Motivated by the generation of a consistent cable health index metric, this paper presents a novel hybrid cable health index approach which combines data-driven and physics-of-failure degradation models. Data-driven models are focused on partial discharge tests and physics-of-failure models are focused on cable lifetime estimation based on thermal and electrical stresses. The combination of these models offers an enhanced cable health indicator which supports engineers in the power cable maintenance related decision-making processes.

Original language	English
Number of pages	4
Publication status	Published - 16 Jun 2019
Event	37th IEEE Electrical Insulation Conference - Hyatt Regency Hotel, Calgary, Canada Duration: 16 Jun 2019 → 19 Jun 2019 http://ieee-eic-org/

Conference

Conference	37th IEEE Electrical Insulation Conference
Abbreviated title	EIC 2019
Country/Territory	Canada
City	Calgary
Period	16/06/19 → 19/06/19
Internet address	http://ieee-eic-org/

Keywords

cables
health index
prognostics and health management
condition monitoring
data analytics

Access to Document

Aizpurua-etal-EIC2019-Towards-a-hybrid-power-cable-health-index-for-medium-voltageAccepted author manuscript, 677 KB

Cite this

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title = "Towards a hybrid power cable health index for medium voltage power cable condition monitoring",

abstract = "Power cables are critical assets for the safe and cost effective operation of the power grid. However, the health assessment of cables is intricate due to its various degradation mechanisms. Motivated by the generation of a consistent cable health index metric, this paper presents a novel hybrid cable health index approach which combines data-driven and physics-of-failure degradation models. Data-driven models are focused on partial discharge tests and physics-of-failure models are focused on cable lifetime estimation based on thermal and electrical stresses. The combination of these models offers an enhanced cable health indicator which supports engineers in the power cable maintenance related decision-making processes.",

keywords = "cables, health index, prognostics and health management, condition monitoring, data analytics",

author = "Aizpurua, {Jose Ignacio} and Stewart, {Brian G.} and McArthur, {Stephen D. J.} and Nitin Jajware and Martin Kearns",

note = "{\textcopyright} 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 37th IEEE Electrical Insulation Conference , EIC 2019 ; Conference date: 16-06-2019 Through 19-06-2019",

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T1 - Towards a hybrid power cable health index for medium voltage power cable condition monitoring

AU - Aizpurua, Jose Ignacio

AU - Stewart, Brian G.

AU - McArthur, Stephen D. J.

AU - Jajware, Nitin

AU - Kearns, Martin

N1 - © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2019/6/16

Y1 - 2019/6/16

N2 - Power cables are critical assets for the safe and cost effective operation of the power grid. However, the health assessment of cables is intricate due to its various degradation mechanisms. Motivated by the generation of a consistent cable health index metric, this paper presents a novel hybrid cable health index approach which combines data-driven and physics-of-failure degradation models. Data-driven models are focused on partial discharge tests and physics-of-failure models are focused on cable lifetime estimation based on thermal and electrical stresses. The combination of these models offers an enhanced cable health indicator which supports engineers in the power cable maintenance related decision-making processes.

AB - Power cables are critical assets for the safe and cost effective operation of the power grid. However, the health assessment of cables is intricate due to its various degradation mechanisms. Motivated by the generation of a consistent cable health index metric, this paper presents a novel hybrid cable health index approach which combines data-driven and physics-of-failure degradation models. Data-driven models are focused on partial discharge tests and physics-of-failure models are focused on cable lifetime estimation based on thermal and electrical stresses. The combination of these models offers an enhanced cable health indicator which supports engineers in the power cable maintenance related decision-making processes.

KW - cables

KW - health index

KW - prognostics and health management

KW - condition monitoring

KW - data analytics

UR - http://ieee-eic.org/

M3 - Paper

T2 - 37th IEEE Electrical Insulation Conference

Y2 - 16 June 2019 through 19 June 2019

ER -

Towards a hybrid power cable health index for medium voltage power cable condition monitoring

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Prosperity Partnership: Delivering Enhanced Through-Life Nuclear Asset Management

A diagnostics framework for underground power cables lifetime estimation under uncertainty

Towards a data analytics framework for medium voltage power cable lifetime mangement

Cite this

Towards a hybrid power cable health index for medium voltage power cable condition monitoring

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Prosperity Partnership: Delivering Enhanced Through-Life Nuclear Asset Management

Research output

A diagnostics framework for underground power cables lifetime estimation under uncertainty

Towards a data analytics framework for medium voltage power cable lifetime mangement

Cite this