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Hazard rate estimation for high-voltage contacts using infrared thermography
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.ORCID iD: 0000-0003-4763-9429
2008 (English)In: Proceedings. Annual Reliability and Maintainability Symposium, ISSN 0149-144X, 233-239 p.Article in journal (Refereed) Published
Abstract [en]

Infrared thermography is the most common way to assess the condition of high-voltage electrical contacts in electric distribution and transmission systems. However, thermography has one major drawback as contacts carrying low or no load may not be assessed.

This paper proposes a method to save and make use of thermography measurements to estimate statistical distribution parameters for the time to failure for a population of electrical contacts. The statistical distributions may then be used to support maintenance decisions for the sometimes large proportion of contacts that may not be assessed directly due to low load. As the measurement results accumulate over the years more accurate predictions can be made.

The proposed method is illustrated using three test cases applied to a population of high-voltage disconnectors with randomly generated thermography measurements.

The main conclusion of the paper is that using the proposed method will provide maintenance decision support for high-voltage apparatus that may not be assessed directly by thermography.

Place, publisher, year, edition, pages
2008. 233-239 p.
Keyword [en]
disconnector, electrical contacts, hazard rate, maximum likelihood
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-8179DOI: 10.1109/RAMS.2008.4925800ISI: 000272027800041Scopus ID: 2-s2.0-67650286801OAI: oai:DiVA.org:kth-8179DiVA: diva2:13432
Note
QC 20100823Available from: 2008-04-03 Created: 2008-04-03 Last updated: 2011-03-01Bibliographically approved
In thesis
1. On reliability and maintenance modelling of ageing equipment in electric power systems
Open this publication in new window or tab >>On reliability and maintenance modelling of ageing equipment in electric power systems
2008 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

Maintenance optimisation is essential to achieve cost-efficiency, availability and reliability of supply in electric power systems. The process of maintenance optimisation requires information about the costs of preventive and corrective maintenance, as well as the costs of failures borne by both electricity suppliers and customers. To calculate expected costs, information is needed about equipment reliability characteristics and the way in which maintenance affects equipment reliability. The aim of this Ph.D. work has been to develop equipment reliability models taking the effect of maintenance into account.

The research has focussed on the interrelated areas of condition estimation, reliability modelling and maintenance modelling, which have been investigated in a number of case studies. In the area of condition estimation two methods to quantitatively estimate the condition of disconnector contacts have been developed, which utilise results from infrared thermography inspections and contact resistance measurements. The accuracy of these methods were investigated in two case studies. Reliability models have been developed and implemented for SF6 circuit-breakers, disconnector contacts and XLPE cables in three separate case studies. These models were formulated using both empirical and physical modelling approaches. To improve confidence in such models a Bayesian statistical method incorporating information from the equipment design process was also developed. This method was illustrated in a case study of SF6 circuit-breaker operating rods. Methods for quantifying the effect of maintenance on equipment condition and reliability have been investigated in case studies on disconnector contacts and SF6 circuit-breakers. The input required by these methods are condition measurements and historical failure and maintenance data, respectively.

This research has demonstrated that the effect of maintenance on power system equipment may be quantified using available data. However, realising the full potential of these methods requires the gathering and utilisation of failure and maintenance data as well as condition measurements to be improved.

Place, publisher, year, edition, pages
Stockholm: KTH, 2008. ix, 55 p.
Series
Trita-EE, ISSN 1653-5146 ; 2008:016
Keyword
Reliability, maintenance, electric power systems, circuit breaker, disconnector, thermography
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-4688 (URN)978-91-628-7465-0 (ISBN)
Public defence
2008-04-25, F3, Lindstedtvägen 26, Stockholm, 13:15
Opponent
Supervisors
Note
QC 20100823Available from: 2008-04-03 Created: 2008-04-03 Last updated: 2010-08-23Bibliographically approved

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Bertling, Lina

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