Show simple item record

dc.contributor.authorChang, Dongsik
dc.contributor.authorZhang, Fumin
dc.contributor.authorWest, Michael
dc.date.accessioned2012-11-14T18:50:18Z
dc.date.available2012-11-14T18:50:18Z
dc.date.issued2011-06
dc.identifier.citationChang, D.; Zhang, F.; & West, M. (2011). "Diagnosis and Prognosis of Scrubber Faults for Underwater Rebreathers Based on Stochastic Event Models". Proceedings of the IEEE International Conference on Prognostics and Health Management (PHM 2011), 20-23 June 2011, pp.1-8.en_US
dc.identifier.isbn978-1-4244-9828-4
dc.identifier.urihttp://hdl.handle.net/1853/45345
dc.description©2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en_US
dc.descriptionPresented at the IEEE International Conference on Prognostics and Health Management (PHM 2011), 20-23 June 2011, Denver, CO.
dc.descriptionDOI: 10.1109/ICPHM.2011.6024353
dc.description.abstractImperfect CO₂ removal mechanisms of CO₂ scrubbers often lead to the existence of CO₂ in gas inhaled by a diver from underwater rebreathers. This may cause CO₂ related rebreather faults and subsequently would increase the risk of human injuries. We introduce a stochastic model for three CO₂ related rebreather faults: CO₂ bypass, scrubber exhaustion, and scrubber breakthrough. We establish the concept of CO₂ channeling that describes the cause of the faults and present a CO₂ channeling model based on a stochastic process driven by a Poisson counter. This helps us to investigate how CO₂ flow inside the rebreather is affected by CO₂ related faults. Fault diagnosis/prognosis algorithms are developed based on the stochastic model and are tested in simulation.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectCO₂ bypassen_US
dc.subjectCO₂ channelingen_US
dc.subjectFault diagnosisen_US
dc.subjectParticle filteren_US
dc.subjectPrognosis algorithmsen_US
dc.subjectRebreather faultsen_US
dc.subjectScrubber breakthroughen_US
dc.subjectScrubber exhaustionen_US
dc.subjectStochastic processen_US
dc.titleDiagnosis and Prognosis of Scrubber Faults for Underwater Rebreathers based on Stochastic Event Modelsen_US
dc.typeProceedingsen_US
dc.typePost-print
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineering
dc.contributor.corporatenameGeorgia Institute of Technology. Center for Robotics and Intelligent Machines
dc.contributor.corporatenameGeorgia Tech Research Institute
dc.publisher.originalInstitute of Electrical and Electronics Engineers
dc.identifier.doi10.1109/ICPHM.2011.6024353


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record