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Reliability prediction of fault tolerant machining system with reboot and recovery delay

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dc.contributor.author Shekhar, Chandra
dc.date.accessioned 2023-07-28T10:40:28Z
dc.date.available 2023-07-28T10:40:28Z
dc.date.issued 2017-11
dc.identifier.uri https://link.springer.com/article/10.1007/s13198-017-0680-y
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11059
dc.description.abstract The present paper deals with the reliability analysis of fault tolerant multi-component machining system having multi-warm spares and reboot provisioning. The time-to-breakdown and repair of active/spare units and server are assumed to be exponentially distributed. The reboot process and recovery delay are also counterfeited exponentially distributed. The spectral method is adapted to compute the transient state probabilities of the system states. In order to predict the transient behavior of the system, various performance measures such as reliability function, mean-time-to-failure (MTTF), etc. have been established. To show the practicability of the developed model, we present numerical results by taking an illustration. The sensitivity of various system parameters on the reliability function and MTTF has also been examined. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Mathematics en_US
dc.subject Reliability en_US
dc.subject Fault tolerant system en_US
dc.subject Active redundancy en_US
dc.subject Recovery delay en_US
dc.subject Common cause failure en_US
dc.title Reliability prediction of fault tolerant machining system with reboot and recovery delay en_US
dc.type Article en_US


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