dc.date.accessioned | 2021-01-21T20:13:11Z | |
dc.date.available | 2021-01-21T20:13:11Z | |
dc.date.created | 2021-01-14T01:16:21Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Huseby, Arne Kalinowska, Martyna Abrahamsen, Tobias . Birnbaum criticality and importance measures for multistate systems with repairable components. Probability in the engineering and informational sciences (Print). 2020, 1-21 | |
dc.identifier.uri | http://hdl.handle.net/10852/82468 | |
dc.description.abstract | We suggest four new measures of importance for repairable multistate systems based on the classical Birnbaum measure. Periodic component life cycles and general semi-Markov processes are considered. Similar to the Birnbaum measure, the proposed measures are generic in the sense that they only depend on the probabilistic properties of the compo- nents and the system structure. The multistate system model encodes physical properties of the components and the system directly into the structure function. As a result, cal- culating importance is easy, especially in the asymptotic case. Moreover, the proposed measures are composite measures, combining importance for all component states into a unified quantity. This simplifies ranking of the components with respect to importance. The proposed measures can be characterized with respect to two features: forward-looking versus backward-looking and with respect to how criticality is measured. Forward-looking importance measures focus on the next component states, while backward-looking impor- tance measures focus on the previous component states. Two approaches to measuring criticality are considered: probability of criticality versus expected impact. Examples show that the different importance measures may result in unequal rankings. | |
dc.language | EN | |
dc.title | Birnbaum criticality and importance measures for multistate systems with repairable components | |
dc.type | Journal article | |
dc.creator.author | Huseby, Arne | |
dc.creator.author | Kalinowska, Martyna | |
dc.creator.author | Abrahamsen, Tobias | |
cristin.unitcode | 185,15,13,35 | |
cristin.unitname | Risiko og Stokastikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |
dc.identifier.cristin | 1871000 | |
dc.identifier.bibliographiccitation | info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Probability in the engineering and informational sciences (Print)&rft.volume=&rft.spage=1&rft.date=2020 | |
dc.identifier.jtitle | Probability in the engineering and informational sciences (Print) | |
dc.identifier.startpage | 1 | |
dc.identifier.endpage | 21 | |
dc.identifier.doi | https://doi.org/10.1017/S0269964820000340 | |
dc.identifier.urn | URN:NBN:no-85357 | |
dc.type.document | Tidsskriftartikkel | |
dc.type.peerreviewed | Peer reviewed | |
dc.source.issn | 0269-9648 | |
dc.identifier.fulltext | Fulltext https://www.duo.uio.no/bitstream/handle/10852/82468/2/mmr2019_abh.pdf | |
dc.type.version | AcceptedVersion | |