A study on infrared thermography processed trough the wavelet transform

  • Authors:
  • V. Niola;G. Quaremba;A. Amoresano

  • Affiliations:
  • Department of Mechanical Engineering for Energetics, University of Naples "Federico II", Napoli, Italy;Department of Mechanical Engineering for Energetics, University of Naples "Federico II", Napoli, Italy;Department of Mechanical Engineering for Energetics, University of Naples "Federico II", Napoli, Italy

  • Venue:
  • ICOSSSE '09 Proceedings of the 8th WSEAS international conference on System science and simulation in engineering
  • Year:
  • 2009

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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.