Article

Multi-State Diagnosis and Prognosis of Lubricating Oil Degradation using Sticky Hierarchical Dirichlet Process -Hidden Markov Model Framework

2021-05-07

Abstract excerpt

In this study, we present a state-based diagnostic and prognostic methodology for lubricating oil degradation based on a nonparametric Bayesian approach i.e. sticky hierarchical Dirichlet process-hidden Markov model (HDP-HMM). An accurate health state-space assessment for diagnostics and prognostics has always been unobservable and hypothetical in the past. The lubrication condition monitoring (LCM) data is in gen...

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Literature Corpus work: 5cd28c1f-b0b5-5000-ba35-58d747912b8e
DOI: 10.22541/au.162041801.18966119/v1

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