Sökning: onr:"swepub:oai:DiVA.org:kth-341406" >
A framework for com...
A framework for component ranking based on a data quality importance index : applications in power system asset management
-
- Naim, Wadih, 1991- (författare)
- KTH,Elektromagnetism och fusionsfysik,QED-AM
-
- Hilber, Patrik, 1975- (författare)
- KTH,Elektromagnetism och fusionsfysik
-
- Shayesteh, Ebrahim (författare)
- KTH,Elektromagnetism och fusionsfysik,Svenska Kraftnät, Stockholm, Sweden
-
(creator_code:org_t)
- Engelska.
- Relaterad länk:
-
https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- Data-driven decision making is essential for efficient power system asset management. Faulty data causes distortions in component failure model estimations. This leads to inaccurate maintenance cost minimization and sub-optimal component replacements. In this paper, we review existing standards and frameworks related to data quality and asset management. We then study the sensitivity of a maintenance optimization model to the Weibull distribution shaping parameter and observe a non-linear relation. Based on this study, we propose using the Weibull shaping parameter as a data quality importance index to rank power system components in terms of data requirements.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- asset management
- data quality
- maintenance
- framework
- failure model
- Electrical Engineering
- Elektro- och systemteknik
Publikations- och innehållstyp
- vet (ämneskategori)
- ovr (ämneskategori)