Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/94621
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | en_US |
dc.creator | Tang, X | en_US |
dc.creator | Wang, X | en_US |
dc.creator | Xiao, M | en_US |
dc.creator | Yung, KL | en_US |
dc.creator | Hu, B | en_US |
dc.date.accessioned | 2022-08-25T01:54:12Z | - |
dc.date.available | 2022-08-25T01:54:12Z | - |
dc.identifier.issn | 1751-7575 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/94621 | - |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.rights | © 2019 Informa UK Limited, trading as Taylor & Francis Group | en_US |
dc.rights | This is an Accepted Manuscript of an article published by Taylor & Francis in Enterprise Information Systems on 02 Oct 2019 (published online), available at: http://www.tandfonline.com/10.1080/17517575.2019.1670361. | en_US |
dc.subject | Belief rule base | en_US |
dc.subject | Health condition estimation | en_US |
dc.subject | Markov Chain Monte Carlo | en_US |
dc.subject | Spacecraft | en_US |
dc.title | Health condition estimation of spacecraft key components using belief rule base | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1107 | en_US |
dc.identifier.epage | 1127 | en_US |
dc.identifier.volume | 15 | en_US |
dc.identifier.issue | 8 | en_US |
dc.identifier.doi | 10.1080/17517575.2019.1670361 | en_US |
dcterms.abstract | This paper proposes a method for estimating the health status of spacecraft key components based on the belief rule base (BRB), a semi-quantitative method which uses both human judgmental information and numerical data. It not only allows experts to establish rules to provide useful conclusions, but also allows historical data to train its parameters to obtain more accurate outputs. To balance the parameter training and experts’ knowledge, the Markov Chain Monte Carlo (MCMC) technique instead of traditional optimization method is used to adjust the BRB parameter. A practical case of estimating the health condition of space application batteries is studied. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Enterprise information systems, 2021, v. 15, no. 8, p. 1107-1127 | en_US |
dcterms.isPartOf | Enterprise information systems | en_US |
dcterms.issued | 2021 | - |
dc.identifier.scopus | 2-s2.0-85074357229 | - |
dc.identifier.eissn | 1751-7583 | en_US |
dc.description.validate | 202208 bcww | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | ISE-0198 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | The Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 60282729 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Yung_Health_Condition_Estimation.pdf | Pre-Published version | 1.14 MB | Adobe PDF | View/Open |
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