A Comparative Study of Acoustic and Vibration Signals in Detection of Gear Failures using Wigner-Ville Distribution

Naim Baydar, Andrew Ball

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256 Citations (Scopus)


Vibration analysis is widely used in machinery diagnostics and the Wigner–Ville distribution has also been implemented in many applications in the condition monitoring of machinery. In contrast to previous applications, this paper examines whether acoustic signal can be used effectively to detect the various local faults in gearboxes using the smoothed pseudo-Wigner–Ville distribution. Three types of progressing local faults, broken tooth, gear crack and localised wear, were simulated. The results from acoustic signals were compared with vibration signals. The results suggest that acoustic signals are very affective for the early detection of faults and may provide a powerful tool to indicate the various types of progressing faults in gearboxes.
Original languageEnglish
Pages (from-to)1091-1107
JournalMechanical Systems and Signal Processing
Issue number6
Publication statusPublished - 1 Nov 2001
Externally publishedYes


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