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dc.contributor.authorDelgado Prieto, Miquel
dc.contributor.authorCariño Corrales, Jesús Adolfo
dc.contributor.authorZurita Millán, Daniel
dc.contributor.authorMillán Gonzálvez, Marta
dc.contributor.authorOrtega Redondo, Juan Antonio
dc.contributor.authorRomero Troncoso, René de Jesús
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.identifier.citationDelgado Prieto, M., Cariño , J.A., Zurita, D., Millan, M., Ortega, J.A., Romero-Troncoso, R. Evaluation of novelty detection methods for condition monitoring applied to an electromechanical system. A: "Fault diagnosis and detection". London: InTech, 2017, p. 131-151.
dc.description.abstractDealing with industrial applications, the implementation of condition monitoring schemes must overcome a critical limitation, that is, the lack of a priori information about fault patterns of the system under analysis. Indeed, classical diagnosis schemes, in general, outdo the membership probability of a measure in regard to predefined operating scenarios. However, dealing with noncharacterized systems, the knowledge about faulty operating scenarios is limited and, consequently, the diagnosis performance is insufficient. In this context, the novelty detection framework plays an essential role for monitoring systems in which the information about different operating scenarios is initially unavailable or restricted. The novelty detection approach begins with the assumption that only data corresponding to the healthy operation of the system under analysis is available. Thus, the challenge is to detect and learn additional scenarios during the operation of the system in order to complement the information obtained by the diagnosis scheme. This work has two main objectives: first, the presentation of novelty detection as the current trend toward the new paradigm of industrial condition monitoring and, second, the introduction to its applicability by means of analyses of different novelty detection strategies over a real industrial system based on rotatory machinery.
dc.format.extent21 p.
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshElectromechanical decives
dc.subject.lcshFault-tolerant computing
dc.subject.othercondition monitoring
dc.subject.otherelectromechanical systems
dc.subject.otherfailure diagnosis
dc.subject.otherfeature reduction
dc.subject.otherindustrial monitoring applications
dc.subject.othernovelty detection
dc.subject.otheropen set recognition
dc.titleEvaluation of novelty detection methods for condition monitoring applied to an electromechanical system
dc.typePart of book or chapter of book
dc.subject.lemacTolerància als errors (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
upcommons.citation.authorDelgado Prieto, M., Cariño , J.A., Zurita, D., Millan, M., Ortega, J.A., Romero-Troncoso, R.
upcommons.citation.publicationNameFault diagnosis and detection

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