Title:
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Novelty detection based condition monitoring scheme applied to electromechanical systems
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Author:
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Delgado Prieto, Miquel; Cariño Corrales, Jesús Adolfo; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A.; Romeral Martínez, José Luis; Romero Troncoso, René
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica; Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group |
Abstract:
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This study is focused on the current challenges dealing with electromechanical system monitoring applied in industrial frameworks, that is, the presence of unknown events and the limitation to the nominal healthy condition as starting knowledge. Thus, an industrial machinery condition monitoring methodology based on novelty detection and classification is proposed in this study. The methodology is divided in three main stages. First, a dedicated feature calculation and reduction over each available physical magnitude. Second, an ensemble structure of novelty detection models based on one-class support vector machines to identify not previously considered events. Third, a diagnosis model supported by a feature fusion scheme in order to reach high fault classification capabilities. The effectiveness of the fault detection and identification methodology has been compared with classical single model approach, and verified by experimental results obtained from an electromechanical machine. © 2018 IEEE. |
Subject(s):
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-Àrees temàtiques de la UPC::Energies::Energia elèctrica::Automatització i control de l'energia elèctrica -Àrees temàtiques de la UPC::Enginyeria electrònica -Automation -Electric power systems -Vibration -condition monitoring -fault diagnosis -industry applications -machine learning -computer aided diagnosis -condition monitoring -factory automation -failure analysis -learning algorithms -learning systems -machinery -electromechanical systems -ensemble structures -fault classification -fault detection and identification -industrial machinery -industry applications -one-class support vector machine -single model approach -fault detection -Automatització -Sistemes de distribució d'energia elèctrica -Vibració |
Rights:
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Document type:
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Article - Submitted version Conference Object |
Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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