Emmanuel Nwadiogbu

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NOMENCLATURE EGT Exhaust Gas Temperature x i (t) HMM hidden state at time t y(t) Sensor measurements P() Conditional probability function a ij HMM hidden state transition probability b jk HMM output transition probability L Log-likelihood value ABSTRACT Accurate fault detection and diagnosis in turbine engines is key to effective maintenance and improved(More)
This paper describes a case study of model-based diagnos-tics system development for an aircraft Auxiliary Power Unit (APU) turbine system. The off-line diagnostics algorithms described in the paper work with historical data of a flight cycle. The diagnostics algorithms use detailed turbine engine systems models and fault model knowledge available to an(More)
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