Predicting remaining life of transmission tower steelwork components

M. Segovia; V. M. Catterson; A. Stuart; L. Johnston; H. Bain; R. McPhaden; R. Wylie; A. Hernandez

Predicting remaining life of transmission tower steelwork components

M. Segovia, V. M. Catterson, A. Stuart, L. Johnston, H. Bain, R. McPhaden, R. Wylie, A. Hernandez

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

36 Downloads (Pure)

Abstract

Failures in transmission tower’s components usually result in extended disruption of power supply. Repair is very costly as it involves replacement of the transmission lines’ sections affected. Additionally, it might also entail litigation cost associated with power disruption. Maintenance decisions have to be taken in time to prevent a failure. At present, maintenance decisions are mainly based on expert’s judgement, who perform inspections every 10 to 12 years.
On specific sites, tower’s components degrade much faster due to aggressive atmospheric conditions, with corrosion being the primary cause of deterioration. In this context, data indicating health state from an UK utility were used to create a Cox model that relates the time before a failure occurs to climatic and atmospheric conditions highly correlated with corrosion. The paper demonstrates the use of the model for predicting remaining tower life, and highlights how this can feed into maintenance planning.

Original language	English
Title of host publication	Risk, Reliability and Safety
Subtitle of host publication	Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016)
Editors	Lesley Walls, Matthew Revie, Tim Bedford
Place of Publication	London, UK
Number of pages	8
Publication status	Published - 13 Sep 2016

Keywords

transmission towers
power supply
transmission lines
maintenance
atmospheric conditions
deterioration
steelwork
lifetime expectancy

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Segovia-etal-ESREL2016-Predicting-remaining-life-of-transmission-tower-steelwork-componentsAccepted author manuscript, 304 KB

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1 Finished

Tower Condition Assessment
Segovia Garcia, M. D. C., Catterson, V., Stuart, A., Johnston, L., Bain, H., McPhaden, R., Wylie, R. & Hernandez, A.
1/04/14 → 1/06/15
Project: Research

Cite this

Segovia, M. ; Catterson, V. M. ; Stuart, A. ; Johnston, L. ; Bain, H. ; McPhaden, R. ; Wylie, R. ; Hernandez, A. / Predicting remaining life of transmission tower steelwork components. Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016). editor / Lesley Walls ; Matthew Revie ; Tim Bedford. London, UK, 2016.

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abstract = "Failures in transmission tower{\textquoteright}s components usually result in extended disruption of power supply. Repair is very costly as it involves replacement of the transmission lines{\textquoteright} sections affected. Additionally, it might also entail litigation cost associated with power disruption. Maintenance decisions have to be taken in time to prevent a failure. At present, maintenance decisions are mainly based on expert{\textquoteright}s judgement, who perform inspections every 10 to 12 years. On specific sites, tower{\textquoteright}s components degrade much faster due to aggressive atmospheric conditions, with corrosion being the primary cause of deterioration. In this context, data indicating health state from an UK utility were used to create a Cox model that relates the time before a failure occurs to climatic and atmospheric conditions highly correlated with corrosion. The paper demonstrates the use of the model for predicting remaining tower life, and highlights how this can feed into maintenance planning.",

keywords = "transmission towers, power supply, transmission lines, maintenance, atmospheric conditions, deterioration, steelwork, lifetime expectancy",

author = "M. Segovia and Catterson, {V. M.} and A. Stuart and L. Johnston and H. Bain and R. McPhaden and R. Wylie and A. Hernandez",

note = "This is an Accepted Manuscript of a book chapter published by CRC Press in Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016) on 13/09/2016, available : https://www.crcpress.com/Risk-Reliability-and-Safety-Innovating-Theory-and-Practice-Proceedings/Walls-Revie-Bedford/p/book/9781138029972",

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Predicting remaining life of transmission tower steelwork components. / Segovia, M.; Catterson, V. M.; Stuart, A.; Johnston, L.; Bain, H.; McPhaden, R.; Wylie, R.; Hernandez, A.

Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016). ed. / Lesley Walls; Matthew Revie; Tim Bedford. London, UK, 2016.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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AB - Failures in transmission tower’s components usually result in extended disruption of power supply. Repair is very costly as it involves replacement of the transmission lines’ sections affected. Additionally, it might also entail litigation cost associated with power disruption. Maintenance decisions have to be taken in time to prevent a failure. At present, maintenance decisions are mainly based on expert’s judgement, who perform inspections every 10 to 12 years. On specific sites, tower’s components degrade much faster due to aggressive atmospheric conditions, with corrosion being the primary cause of deterioration. In this context, data indicating health state from an UK utility were used to create a Cox model that relates the time before a failure occurs to climatic and atmospheric conditions highly correlated with corrosion. The paper demonstrates the use of the model for predicting remaining tower life, and highlights how this can feed into maintenance planning.

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M3 - Conference contribution book

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BT - Risk, Reliability and Safety

A2 - Walls, Lesley

A2 - Revie, Matthew

A2 - Bedford, Tim

CY - London, UK

ER -

Predicting remaining life of transmission tower steelwork components

Abstract

Keywords

Access to Document

Tower Condition Assessment

Cite this