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 an advanced methodology of signal processing which allows to evaluate in advance which kind of fault can happen on a machinery. Several applications are presented in order to show the main features of the method.

Applications of advanced signal processing analysis

NIOLA, VINCENZO;QUAREMBA, GIUSEPPE
2016

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 an advanced methodology of signal processing which allows to evaluate in advance which kind of fault can happen on a machinery. Several applications are presented in order to show the main features of the method.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/641903
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact