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Evaluation of novelty detection methods for condition monitoring applied to an electromechanical system

Author
Delgado Prieto, M.; Cariño , J.A.; Zurita, D.; Millan, M.; Ortega, J.A.; Romero-Troncoso, R.
Type of activity
Book chapter
Book
Fault diagnosis and detection
First page
131
Last page
151
Publisher
InTech
Date of publication
2017-05-31
ISBN
978-953-51-3204-2 Open in new window
DOI
https://doi.org/10.5772/63169 Open in new window
Repository
http://hdl.handle.net/2117/118926 Open in new window
https://www.intechopen.com/books/fault-diagnosis-and-detection/evaluation-of-novelty-detection-methods-for-condition-monitoring-applied-to-an-electromechanical-sys Open in new window
URL
https://www.intechopen.com/ Open in new window
Abstract
Dealing 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 pe...
Citation
Delgado 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.
Keywords
condition monitoring, electromechanical systems, failure diagnosis, feature reduction, industrial monitoring applications, novelty detection, open set recognition
Group of research
MCIA - Motion Control and Industrial Applications Research Group
PERC-UPC - Power Electronics Research Centre

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