Detection of gear deterioration under varying load conditions by using the instantaneous power spectrum

N. Baydar, A. Ball

Research output: Contribution to journalArticle

83 Citations (Scopus)


It has already been proven that time-frequency distributions such as the Wigner-Ville and wavelet transforms can be applied to the description of machine condition and may be used as an effective method in machinery fault diagnosis. This paper considers the use of another time-frequency distribution called the instantaneous power spectrum (IPS) in the detection of local faults in helical gears. The paper begins with a fundamental description of the IPS and then examines the capability of the technique in extracting condition indicating information from gear vibration signals and also in assessing the fault severity. The paper then further examines the ability of the IPS to detect faults under varying load conditions. It is shown that the IPS can be used to detect local faults not only under the same dynamic conditions (constant speed and load), but it can also indicate the progression of faults under varying load conditions.

Original languageEnglish
Pages (from-to)907-921
Number of pages15
JournalMechanical Systems and Signal Processing
Issue number6
Publication statusPublished - 1 Nov 2000
Externally publishedYes
EventSociety of Automotive Engineers World Congress - Detroit, United States
Duration: 6 Mar 20009 Mar 2000


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