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Fault detection on fluid machinery using Hidden Markov Models
A fault detection method exploiting Hidden Markov Models (HMMs) is proposed for fluid machinery without adequate a priori information about faulty conditions. The method is trained only on data acquired during normal machine operation. For anomaly detection, typical quantities measured in monitoring...
| Autores principales: | , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2020
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| Acceso en línea: | https://dx.doi.org/10.1016/j.measurement.2019.107126 http://cds.cern.ch/record/2704706 |