A comparison study of hidden Markov model and particle filtering method: Application to fault diagnosis for gearbox

Abstract

For gearbox fault diagnosis, it is expected that a desired fault diagnosis model should have good computation efficiency, and have good recognition ability in both fault detection domain and fault identification domain. Currently, there are mainly three type's models in this area that are physical based model, artificial intelligence based model and data… (More)

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