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Hidden Markov Models and Their Application for Predicting Failure Events
We show how Markov mixed membership models (MMMM) can be used to predict the degradation of assets. We model the degradation path of individual assets, to predict overall failure rates. Instead of a separate distribution for each hidden state, we use hierarchical mixtures of distributions in the exp...
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| Published in: | Computational Science – ICCS 2020 |
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| Main Authors: | , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7304047/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50420-5_35 |
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