A friction estimation approach to fault detection in electromechanical systems
Contributo in Atti di convegno
Data di Pubblicazione:
2015
Citazione:
(2015). A friction estimation approach to fault detection in electromechanical systems [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/55955
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.
Tipologia CRIS:
1.4.01 Contributi in atti di convegno - Conference presentations
Elenco autori:
Angeloni, Fabio; Ermidoro, Michele; Previdi, Fabio; Savaresi, Sergio M.
Link alla scheda completa:
Titolo del libro:
9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2015 Paris, 2–4 September 2015
Pubblicato in: