An approach for the construction of entropy measure and energy map in machine fault diagnosis

Reza Tafreshi, F. Sassani, H. Ahmadi, G. Dumont

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

This paper presents a novel wavelet-based methodology for feature extraction and classification. To compare the performance of the proposed approach with major existing methods, a number of sets of real-world machine data acquired by mounting accelerometer sensors on the cylinder head of an engine have been extensively tested. The developed method not only bypasses the demerits of the previous techniques but also demonstrates superior performance.

Original languageEnglish
Pages (from-to)245011-245017
Number of pages7
JournalJournal of Vibration and Acoustics, Transactions of the ASME
Volume131
Issue number2
DOIs
Publication statusPublished - Apr 2009

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ASJC Scopus subject areas

  • Mechanics of Materials
  • Acoustics and Ultrasonics
  • Mechanical Engineering

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