A New State Recognition and Prognosis Method Based on a Sparse Representation Feature and the Hidden Semi-Markov Model

A New State Recognition and Prognosis Method Based on a Sparse Representation Feature and the Hidden Semi-Markov Model

Equipment degradation state recognition and prognosis are considered two significant parts of a prognostics and health management (PHM) system that help to reduce downtime and decrease economic losses. In this paper, a sparse representation (SR) feature is proposed as a new degradation feature, and...

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Bibliographic Details
Main Authors: Yun-Fei Ma, Xisheng Jia, Qiwei Hu, Huajun Bai, Chiming Guo, Shuangchuan Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Sparse representation
hidden semi-Markov model
degradation recognition
feature extraction
prognostic
bearing
Online Access:https://ieeexplore.ieee.org/document/9126770/

Internet

https://ieeexplore.ieee.org/document/9126770/

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