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    Diagnosis and Prognosis of Scrubber Faults for Underwater Rebreathers based on Stochastic Event Models

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    Rebreather_final.pdf (880.0Kb)
    Date
    2011-06
    Author
    Chang, Dongsik
    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.
    URI
    http://hdl.handle.net/1853/45345
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    • Underwater Robotics [25]
    • Underwater Robotics Publications [25]

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