Nowadays, in the industrial field, the predictive maintenance is an important methodology employed for reducing risks of machine stops. Machines are continuously monitored in order to maximize the performance, both in terms of quality and productivity. In this paper it is pointed out a procedure which allows to evaluate in advance which kind of fault can happen on a machinery. The present study, by involving thermal images detected trough infrared camera and the technique of Wavelet Transform, achieves important results in the predictive failure analysis.
A study on infrared thermography processed trough the wavelet transform / Niola, Vincenzo; Quaremba, Giuseppe; Amoresano, Amedeo. - (2009), pp. 57-62. (Intervento presentato al convegno 8th WSEAS International Conference on System Science and Simulation in Engineering, ICOSSSE '09 tenutosi a Genova, Italy nel 17-19 October).
A study on infrared thermography processed trough the wavelet transform
NIOLA, VINCENZO;QUAREMBA, GIUSEPPE;AMORESANO, AMEDEO
2009
Abstract
Nowadays, in the industrial field, the predictive maintenance is an important methodology employed for reducing risks of machine stops. Machines are continuously monitored in order to maximize the performance, both in terms of quality and productivity. In this paper it is pointed out a procedure which allows to evaluate in advance which kind of fault can happen on a machinery. The present study, by involving thermal images detected trough infrared camera and the technique of Wavelet Transform, achieves important results in the predictive failure analysis.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
