Fault diagnosis using consensus of Markov chains

A fault diagnosis procedure is proposed based on consensus in a group of local agents/experts. Local models are represented by Markov chains and modelling consensus as a mixture of these allows estimation of optimal ratings using an EM framework. To deal with the unobservable case the procedure is extended to accommodate Hidden Markov models (HMMs).