Title:
Diagnosis and Prognosis of Scrubber Faults for Underwater Rebreathers based on Stochastic Event Models
Diagnosis and Prognosis of Scrubber Faults for Underwater Rebreathers based on Stochastic Event Models
Author(s)
Chang, Dongsik
Zhang, Fumin
West, Michael
Zhang, Fumin
West, Michael
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Abstract
Imperfect 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.
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Date Issued
2011-06
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Text
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Proceedings
Proceedings