Fault diagnosis and prognosis of bearing based on hidden Markov model with multi-features

DOI10.2478/amns.2020.1.00008zbMath1506.62393OpenAlexW3015042159MaRDI QIDQ2690683

Tiancong Shi, Weiguo Zhao, Liying Wang

Publication date: 17 March 2023

Published in: Applied Mathematics and Nonlinear Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/amns.2020.1.00008

zbMATH Keywords

hidden Markov modelwavelet packetfault diagnosisprognosismulti-features

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Markov processes: estimation; hidden Markov models (62M05) Reliability and life testing (62N05)

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Cites Work

• Bayesian network classifiers
• HMMs for diagnostics and prognostics in machining processes
• Statistical Inference for Probabilistic Functions of Finite State Markov Chains
• A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
• Unnamed Item