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dc.contributor.authorDeosthale, Eeshan
dc.contributor.authorJung, Daniel
dc.contributor.authorAhmed, Qadeer
dc.date.accessioned2022-02-06T05:27:00Z
dc.date.available2022-02-06T05:27:00Z
dc.date.copyright6/25/2021 12:00:00 AM
dc.date.issued2021
dc.identifier.issn0022-0434
dc.identifier.otherds_143_10_101009.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278049
dc.description.abstractFault diagnosis of a certain class of hybrid systems referred to as structurally reconfigurable (SR) systems is complicated. This is because SR systems tend to switch their configuration, which may or may not be faulty. It is important to identify the mode of the SR system along with the corresponding fault if any, in order to facilitate a fault tolerant action. This paper combines discrete fault diagnosis with mode identification for SR systems to achieve two main objectives: Sensor selection for fault detection, isolation and mode identification, and residual selection for mode identification. The framework is built using a structural analysis-based approach to meet these objectives. This framework is demonstrated for a 10-speed Automatic Transmission, which is an illustrative example of SR systems.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleDiscrete Fault Diagnosis of Structurally Reconfigurable Systems
dc.typeJournal Paper
dc.journal.volume143
dc.journal.issue10
dc.journal.titleJournal of Dynamic Systems, Measurement, and Control
dc.identifier.doi10.1115/1.4051252
dc.journal.fristpage0101009-1
dc.journal.lastpage0101009-10
dc.page10
dc.treeJournal of Dynamic Systems, Measurement, and Control:;2021:;volume( 143 ):;issue: 010
dc.contenttypeFulltext


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