Novel vibration diagnosis technology for industrial gearboxes

Len Gelman, Harish N. Chandra, Mahesh Patel, David Manning-Ohren

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Misalignment is a common source of vibrations in rotating machinery such as gearboxes. In this paper novel short-time higher order chirp-Fourier transform (STHOCFT) is applied for misalignment detection of multi-stage gearboxes. STHOCFT is an adaptive technique and is capable of handling non-linear polynomial variation of instantaneous frequency in time. The proposed technique is suitable for both constant and variable speeds of the gearbox. The technology for the misalignment detection is based on the analysis of magnitudes of the bicoherence components based on STHOCFT involving low shaft orders. Separation between the features corresponding to normal and misalignment condition are quantified by Fisher Criterion. Using the Weighted Majority Rule based decision making technique; the estimate of the total probability of correct diagnosis is 100% for the estimated features.

Original languageEnglish
Title of host publication24th International Congress on Sound and Vibration, ICSV 2017
PublisherInternational Institute of Acoustics and Vibration, IIAV
Number of pages6
Volume4 of 9
ISBN (Print)9781510845855
Publication statusPublished - 2017
Externally publishedYes
Event24th International Congress on Sound and Vibration - Park Plaza Westminster Bridge Hotel, London, United Kingdom
Duration: 23 Jul 201727 Jul 2017
Conference number: 24 (Link to Congress Website)


Conference24th International Congress on Sound and Vibration
Abbreviated titleICSV24
Country/TerritoryUnited Kingdom
Internet address


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