A novel fault diagnostic technique for gearboxes under speed fluctuations without angular speed measurement

Liu Hong, Yongzhi Qu, Jaspreet Singh Dhupia, Yuegang Tan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In practice, fluctuations around the nominal operating speed often result in vibration spectra of gearboxes to appear smeared. Order tracking technique can be employed to remove the spectral smearing of such signals. However, this technique requires simultaneous measurements of vibration and rotational speed, which is often unavailable in industrial settings. Thus, a new diagnostic algorithm without a tachometer is proposed in this paper for monitoring of gear faults. This new tacho-less method uses fast dynamic time warping (FDTW) algorithm to remove the spectral smearing, is based on the introduction of an estimated reference signal having the same frequency as the nominal shaft rotational frequency. The effectiveness of this method is validated using both simulated signals from a fixed axis gear pair and experimental signals from a planetary gearbox test rig. The results demonstrate the ability of the proposed approach in extracting fault information from gearbox vibration signals under fluctuating speed conditions.

Original languageEnglish (US)
Title of host publicationInternational Symposium on Flexible Automation, ISFA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5-10
Number of pages6
ISBN (Electronic)9781509034673
DOIs
StatePublished - Dec 16 2016
Externally publishedYes
EventInternational Symposium on Flexible Automation, ISFA 2016 - Cleveland, United States
Duration: Aug 1 2016Aug 3 2016

Publication series

NameInternational Symposium on Flexible Automation, ISFA 2016

Conference

ConferenceInternational Symposium on Flexible Automation, ISFA 2016
CountryUnited States
CityCleveland
Period8/1/168/3/16

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