Simulation Assessment of Degradation System Reliability under Imperfect Maintenance
Xitong Fangzhen Xuebao / Journal of System Simulation, ISSN: 1004-731X, Vol: 30, Issue: 8, Page: 2834-2840
2018
- 38Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage38
- Downloads35
- Abstract Views3
Article Description
For the state change characteristic of degradation system under imperfect maintenance, the common analysis method becomes useless. A simulation method for repairable system is presented. A change rule of system reliability was analyzed and a reliability assessment model was built on the foundation of components degradation process. A simulation tactics based on variable structure modeling was given which is realized through Agent technique. A maintenance optimization example was given for the determination of maintenance opportunity which is used to support the formulation and improvement of maintenance support program for repairable system.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85061996711&origin=inward; http://dx.doi.org/10.16182/j.issn1004731x.joss.201808003; https://dc-china-simulation.researchcommons.org/journal/vol30/iss8/3; https://dc-china-simulation.researchcommons.org/cgi/viewcontent.cgi?article=2451&context=journal; https://dx.doi.org/10.16182/j.issn1004731x.joss.201808003; https://www.chndoi.org/Resolution/Handler?doi=10.16182/j.issn1004731x.joss.201808003; http://sciencechina.cn/gw.jsp?action=cited_outline.jsp&type=1&id=6435375&internal_id=6435375&from=elsevier
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