Detection of gear failures via vibration and acoustic signals using wavelet transform

N. Baydar, A. Ball

Research output: Contribution to journalArticle

160 Citations (Scopus)

Abstract

Vibration analysis is widely used in machinery diagnostics and the wavelet transform 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 along vibration signal to detect the various local faults in gearboxes using the wavelet transform. Two commonly encountered local faults, tooth breakage and tooth crack, 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.

LanguageEnglish
Pages787-804
Number of pages18
JournalMechanical Systems and Signal Processing
Volume17
Issue number4
Early online date23 Apr 2003
DOIs
Publication statusPublished - 1 Jul 2003
Externally publishedYes

Fingerprint

Wavelet transforms
Vibrations (mechanical)
Gears
Acoustics
Machinery
Condition monitoring
Vibration analysis
Cracks

Cite this

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Detection of gear failures via vibration and acoustic signals using wavelet transform. / Baydar, N.; Ball, A.

In: Mechanical Systems and Signal Processing, Vol. 17, No. 4, 01.07.2003, p. 787-804.

Research output: Contribution to journalArticle

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AU - Ball, A.

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