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Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis
Zurita Millán, Daniel; Delgado Prieto, Miquel; Ortega Redondo, Juan Antonio; Romeral Martínez, José Luis
Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica; Universitat Politècnica de Catalunya. MCIA - Centre MCIA Innovation Electronics
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 to detect gear fault patterns. Finally, the diagnosis result is sent through a wireless transceiver to the central control unit. Moreover, in order to reach a real autonomous operation, the sensor power is approached by different energy harvesting solutions.
Àrees temàtiques de la UPC::Enginyeria electrònica
Electrical engineering.
Maintenance.
Maquinària -- Manteniment i reparació
Sensors remots
info:eu-repo/semantics/publishedVersion
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Institute of Electrical and Electronics Engineers (IEEE)
         

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