On the definition of functioning conditions of a mechanical system by means orthogonal processing

  • Authors:

  • Vincenzo Niola;Antonio Donnarumma;Giuseppe Quaremba

  • Affiliations:

  • Department of Mechanical Engineering for Energetics, University of Naples "Federico II", Napoli, Italy;Università di Salerno, Facoltà d'Ingegneria, Fisciano, SA, Italy;University of Naples "Federico II", Napoli, Italy

  • Venue:
  • NN'05 Proceedings of the 6th WSEAS international conference on Neural networks
  • Year:
  • 2005

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Abstract

In the present work a methodology useful for the identification and classification of anomalies showed by an aleatory mechanical system was developed. In order to perform the study, more than 1000 tests, each with predefined characteristics and goals, have been carried out by means a dynamical test-bed based on a two circular-arc cam-follower mechanism. The acceleration of the follower and the applied torque were sampled electronically. The signals obtained have been grouped into 4 main families and, for each family, into 4 groups according to their features; each signal was processed by applying the Discrete Wavelet Transform (DWT). Therefore, the signals were identified through 10 energetic variables deriving from the decomposition of each signal into 10 orthogonal components obtained by the application of DWT. Afterward, the results of their classification, obtained by applying a multivariate statistical analysis (i.e., discriminant analysis), were compared to the ones obtained by applying a fuzzy algorithm.