A fault diagnosis method of planetary gearbox under variable speed condition using Vold-Kalman filter and Laplacian score

Yongbo Li, Xianzhi Wang, Zhiliang Liu, Shubin Si

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

3 Scopus citations

Abstract

Planetary gearboxes operation under non-stationary working condition exhibit complex time-varying modulations and spectral structures, resulting in difficulty in the fault diagnosis of planetary gearbox. In order to effectively remove the influence of rotating speed and extract the fault characteristics, this paper aims to develop a fault diagnosis scheme based on Void-Kalman filter (VKF) and Laplacian score (LS). In this method, VKF is firstly adopted to remove the fault-unrelated components and give a clear representation of the fault symptoms. Second, the time-domain features and frequency-domain features are used to extract fault features. Third, LS approach is introduced to refine the fault features by sorting the scale factors. Lastly, the selected features are fed into the LSSVM to automatically complete the fault pattern identifications. The combined method is experimentally demonstrated to be able to recognize the different sun gear fault types of planetary gearboxes.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Prognostics and Health Management, ICPHM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538611647
DOIs
StatePublished - 27 Aug 2018
Event2018 IEEE International Conference on Prognostics and Health Management, ICPHM 2018 - Seattle, United States
Duration: 11 Jun 201813 Jun 2018

Publication series

Name2018 IEEE International Conference on Prognostics and Health Management, ICPHM 2018

Conference

Conference2018 IEEE International Conference on Prognostics and Health Management, ICPHM 2018
Country/TerritoryUnited States
CitySeattle
Period11/06/1813/06/18

Keywords

  • fault pattern identification
  • laplacian score
  • planetary gearboxes
  • Vold-Kalman filtering

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