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A platform for research: civil engineering, architecture and urbanism
Risk estimation of ageing outdoor composite insulators with Markov models
A methodology is presented which facilitates determination of the risk of flashover in an overhead line network consisting of composite insulators. The method allows consideration of environmental variation by granulation of the geography, and separates the issues of long-term ageing and the threat of short-term flashover because of environmental extremes. This is achieved by combining established statistical dimensioning principles according to the sites' pollution severity and a four-state Markov ageing model to account for long-term ageing of the insulators. The short-term time-variant pollution severity is defined using statistical principles. Then by choosing appropriate transition probabilities between pre-defined Markov states the population of insulators at risk of flashover is estimated. Knowledge of the distribution of Markov states in the system and the pollution severity enables estimation of risk of flashover for a given number of insulators at a given point in time in a range of environments. The analysis is designed to be used to assist asset management decisions and optimise condition monitoring of overhead line composite insulators. © 2012 The Institution of Engineering and Technology.
Risk estimation of ageing outdoor composite insulators with Markov models
A methodology is presented which facilitates determination of the risk of flashover in an overhead line network consisting of composite insulators. The method allows consideration of environmental variation by granulation of the geography, and separates the issues of long-term ageing and the threat of short-term flashover because of environmental extremes. This is achieved by combining established statistical dimensioning principles according to the sites' pollution severity and a four-state Markov ageing model to account for long-term ageing of the insulators. The short-term time-variant pollution severity is defined using statistical principles. Then by choosing appropriate transition probabilities between pre-defined Markov states the population of insulators at risk of flashover is estimated. Knowledge of the distribution of Markov states in the system and the pollution severity enables estimation of risk of flashover for a given number of insulators at a given point in time in a range of environments. The analysis is designed to be used to assist asset management decisions and optimise condition monitoring of overhead line composite insulators. © 2012 The Institution of Engineering and Technology.
Risk estimation of ageing outdoor composite insulators with Markov models
Tzimas, A. (author) / Rowland, S. M. (author)
2012-08-01
Tzimas , A & Rowland , S M 2012 , ' Risk estimation of ageing outdoor composite insulators with Markov models ' IET Generation, Transmission and Distribution , vol 6 , no. 8 , pp. 803-810 . DOI:10.1049/iet-gtd.2011.0858
Article (Journal)
Electronic Resource
English
/dk/atira/pure/subjectarea/asjc/2200/2208 , risk , /dk/atira/pure/subjectarea/asjc/2200/2207 , Energy Engineering and Power Technology , compsoite insulator , aging , Markov , /dk/atira/pure/subjectarea/asjc/2100/2102 , Control and Systems Engineering , asset management , NCI , Electrical and Electronic Engineering , Outdoor insulation , ageing
DDC:
690
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