Change search
ReferencesLink to record
Permanent link

Direct link
Individual failure rates for transformers within a population based on diagnostic measures
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering. (Reliability Centred Asset Management (RCAM) Group)ORCID iD: 0000-0002-3543-9326
KTH, School of Electrical Engineering (EES), Electric power and energy systems. (Power system operation and control)
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering. (Reliability Centred Asset Management (RCAM) Group)
2016 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 141, 354-362 p.Article in journal (Refereed) Published
Abstract [en]

The high monetary value of a transformer has placed the transformer life-time optimization into the focus of asset management. The average failure rate has created reasonable results within reliability modeling, however, it cannot reflect the probability of failure for an individual transformer. In this paper, a method is introduced to calculate individual failure rates for a transformer population based on failure statistics and diagnostic measurements such as dissolved gas, and 2-furfuraldehyde analysis. The method is applicable to all types of components and the comprehensibility makes it effective for practical implementation. The results are evaluated against two health indices based on a weight factor and fuzzy logic. It can be observed that the presented individual failure rates are plausible representatives of the transformer's probability of failure. Therefore, the results can also be utilized for asset management decision-making.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 141, 354-362 p.
Keyword [en]
Asset management; Condition monitoring; Diagnostic measures; Failure rate; Failure rate modeling; Health index
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-192290DOI: 10.1016/j.epsr.2016.08.015OAI: oai:DiVA.org:kth-192290DiVA: diva2:967462
Note

QC 20160912

Available from: 2016-09-08 Created: 2016-09-08 Last updated: 2016-09-12Bibliographically approved
In thesis
1. Condition-based Failure Rate Modelling for Individual Components in the Power System
Open this publication in new window or tab >>Condition-based Failure Rate Modelling for Individual Components in the Power System
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The electrical power grid is one of the most important infrastructures in the modernsociety. It supplies industrial and private customers with electricity and supportsother critical infrastructures such as the water supply. Thus, it is significant that the power grid is a reliable system. However, the power system experiences a hugetransition from classical production methods such as coal and nuclear power plantsto distributed renewable energy forms such as wind energy and photovoltaic. This change to a more distributed system challenges the existing power grid as well as the traditional business models of electric utilities. Thus, cost minimization to increase profitability and improvement of the power grid to increase customer satisfactionare in the focus. One approach to increase the reliability of the grid and decrease maintenance costs is a condition-based maintenance approach which requirescondition monitoring techniques.

This thesis introduces into failure rate modelling for individual power system components and develops a method to calculate individual failure rates based onthe average failure rate, failure statistics, and condition monitoring data. This approach includes the analysis of failure statistics to identify failure causes and failure locations which are population characteristics but can be utilized to describe the heterogeneity within the population. Thus, the thesis first introduces into the topic of failure analysis and heterogeneity in populations. Different factors are identified and categorized which describe the condition development of a component overtime. Then, the literature within failure rate estimation is reviewed to present the factors which are used within failure rate modelling and to outline the existingmethods which consider the individual. However, limitations are discussed which emphasize the demand for a new approach. Consequently, this thesis introduce intoa new approach for estimating the failure rate for individual components.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. 33 p.
Series
TRITA-EE, ISSN 1653-5146 ; 2016:079
Keyword
Asset management, condition monitoring, diagnostic measures, failure rate, failure rate modeling, transformer diagnostics
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-187701 (URN)978-91-7729-031-5 (ISBN)
External cooperation:
Presentation
2016-06-08, KTH Main Campus, Q22, Osquldas väg 6B, Stockholm, 16:08 (English)
Opponent
Supervisors
Projects
Energiforsk AB risk analysis program
Note

QC 20160526

Available from: 2016-05-26 Created: 2016-05-26 Last updated: 2016-09-12Bibliographically approved

Open Access in DiVA

fulltext(2249 kB)12 downloads
File information
File name FULLTEXT01.pdfFile size 2249 kBChecksum SHA-512
0151bfcf58307550bab10c6b442bdd0bc19c5d0653536d307b12cffd5b975c6981bb7755d1b2a7b636e3f58c893071e58577d999f048997e1d6c763f93b4dfdd
Type fulltextMimetype application/pdf

Other links

Publisher's full texthttp://dx.doi.org/10.1016/j.epsr.2016.08.015

Search in DiVA

By author/editor
Jürgensen, Jan HenningNordström, LarsHilber, Patrik
By organisation
Electromagnetic EngineeringElectric power and energy systems
In the same journal
Electric power systems research
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 12 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 30 hits
ReferencesLink to record
Permanent link

Direct link