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Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis

Author
Zurita, D.; Delgado Prieto, M.; Ortega, J.A.; Romeral, L.
Type of activity
Presentation of work at congresses
Name of edition
9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives
Date of publication
2013
Presentation's date
2013-08-28
Book of congress proceedings
USB Proceedings 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED 2013)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Repository
http://hdl.handle.net/2117/20486 Open in new window
Abstract
The development of intelligent and autonomous monitoring systems applied to rotating machinery, represents the evolution towards the automatic industrial plants supervision. In this regard, an acoustic emission based intelligent sensor is presented in this work. The proposed sensor records regularly the acoustic emission signal generated by gearboxes. A time domain statistical analysis is applied in order to characterize the acquired data. Afterwards, a neural network based algorithm is applied ...
Citation
Zurita, D. [et al.]. Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis. A: IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives. "USB Proceedings 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED 2013)". Valencia: Institute of Electrical and Electronics Engineers (IEEE), 2013.
Group of research
MCIA - Motion Control and Industrial Applications Research Group
PERC-UPC - Power Electronics Research Centre

Participants