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Volume 2018, Article ID 3904598, 8 pages
https://doi.org/10.1155/2018/3904598
Research Article

Gear Fault Diagnosis in Variable Speed Condition Based on Multiscale Chirplet Path Pursuit and Linear Canonical Transform

1College of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
2College of Automation, Chongqing University, Chongqing 400044, China

Correspondence should be addressed to Zhang Ke; moc.361@atems

Received 8 November 2017; Revised 15 January 2018; Accepted 7 February 2018; Published 11 March 2018

Academic Editor: Chen Lu

Copyright © 2018 Xu Shuiqing et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The vibration signals analysis is a very effective and reliable method for detecting the gear failures. Because the vibration signals acquired from the gear in the variable speed condition often contain more useful fault information, the analysis of the gear vibration signals during the variable speed condition has been a hot research topic. In this paper, a method based on the multiscale chirplet path pursuit (MSCPP) and the linear canonical transform (LCT) has been applied to diagnose the gear fault in the variable speed condition for the first time. First, by using the MSCPP method to estimate the instantaneous meshing frequency, the suitable signal segment approximation to the acceleration or deceleration process can be selected. Then, because the LCT is a novel and efficient nonstationary signals analysis tool, the optimal LCT spectrum of the selected signal has been attainted to diagnose the gear faults based on the properties of the LCT. In addition, the simulations and the experimental evaluation are provided to verify the effectiveness of the proposed method.