This paper presents a sensor fusion approach, using an Extended Kalman filter, in order to estimate the friction coefficient inside an electromechanical system. This method has the main advantage of merging the information arising from acceleration and motor current into a single variable. This new signal permits to improve the performance of a fault detection algorithm. An application showing the advantages of the proposed approach is shown; the electromechanical system chosen for the tests is an automatic access gate.

(2015). A friction estimation approach to fault detection in electromechanical systems [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/55955

A friction estimation approach to fault detection in electromechanical systems

Angeloni, Fabio;Ermidoro, Michele;Previdi, Fabio;
2015-01-01

Abstract

This paper presents a sensor fusion approach, using an Extended Kalman filter, in order to estimate the friction coefficient inside an electromechanical system. This method has the main advantage of merging the information arising from acceleration and motor current into a single variable. This new signal permits to improve the performance of a fault detection algorithm. An application showing the advantages of the proposed approach is shown; the electromechanical system chosen for the tests is an automatic access gate.
previdi@unibg.it
2015
Inglese
9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2015 Paris, 2–4 September 2015
Maquin, Didier;
48
21
720
725
online
Elsevier
esperti anonimi
SAFEPROCESS 2015: 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Paris, France, 2–4 September 2015
9th
Paris (France)
2–4 September 2015
IFAC - International Federation of Automatic Control
internazionale
contributo
Settore ING-INF/04 - Automatica
Sensor data fusion; fault detection; friction estimation; Extended Kalman filter
   Holmes: Health On Line Monitoring for Electro mechanical actuator Safety
   FP7
info:eu-repo/semantics/conferenceObject
4
Angeloni, Fabio; Ermidoro, Michele; Previdi, Fabio; Savaresi, Sergio M.
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
reserved
Non definito
273
(2015). A friction estimation approach to fault detection in electromechanical systems [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/55955
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/55955
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