First-Order Uncertain Hidden Semi-Markov Process for Failure Prognostics With Scarce Data

First-Order Uncertain Hidden Semi-Markov Process for Failure Prognostics With Scarce Data

Failure prognostics aims at predicting the object equipment's future degradation trend and derives the remaining useful life with a predefined failure threshold. Hidden semi-Markov process (HSMP) is widely adopted for failure prognostics of degradation process with discrete states. The effectiv...

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Bibliographic Details
Main Author: Jie Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Failure prognostics
hidden semi-Markov process
scarce data
uncertainty theory
Online Access:https://ieeexplore.ieee.org/document/9106361/

Internet

https://ieeexplore.ieee.org/document/9106361/

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