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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...

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Detalles Bibliográficos
Autores principales: Arpaia, P, Cesaro, U, Chadli, M, Coppier, H, De Vito, L, Esposito, A, Gargiulo, F, Pezzetti, M
Lenguaje:eng
Publicado: 2020
Acceso en línea:https://dx.doi.org/10.1016/j.measurement.2019.107126
http://cds.cern.ch/record/2704706