Fatigue crack fault diagnosis and prognosis based on hidden semi-Markov model

Fatigue crack fault diagnosis and prognosis based on hidden semi-Markov model

Aiming at the fault diagnosis and remaining useful life (RUL) prediction of fatigue cracks of a helicopter main gearbox planet carrier, this article proposes a hidden semi-Markov model (HSMM) methodology, which introduces the explicit state durational distribution parameters into the traditional hid...

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Bibliographic Details
Main Authors: Lei Fan, Shaoping Wang, Haibin Duan, Hongliang Ran
Format: Article
Language:English
Published: Wiley 2018-12-01
Series:The Journal of Engineering
Subjects:
fault diagnosis
gears
remaining life assessment
helicopters
fatigue cracks
hidden Markov models
condition monitoring
exponential distribution
fatigue crack fault diagnosis
hidden semiMarkov model
helicopter main gearbox planet carrier
remaining useful life prediction
prognostic accuracy
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8960

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https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8960

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