Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery

Shao, Haidong and Xia, Min and Wan, Jiafu and de Silva, Clarence W. (2022) Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery. IEEE ASME Trans Mechatron, 27 (1). pp. 24-33. ISSN 1083-4435

[thumbnail of TMECH-10-2020-10855 Final Submission]
Text (TMECH-10-2020-10855 Final Submission)
TMECH_10_2020_10855_Final_Submission.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (5MB)


Intelligent fault diagnosis techniques play an important role in improving the abilities of automated monitoring, inference, and decision making for the repair and maintenance of machinery and processes. In this article, a modified stacked autoencoder (MSAE) that uses adaptive Morlet wavelet is proposed to automatically diagnose various fault types and severities of rotating machinery. First, the Morlet wavelet activation function is utilized to construct an MSAE to establish an accurate nonlinear mapping between the raw nonstationary vibration data and different fault states. Then, the nonnegative constraint is applied to enhance the cost function to improve sparsity performance and reconstruction quality. Finally, the fruit fly optimization algorithm is used to determine the adjustable parameters of the Morlet wavelet to flexibly match the characteristics of the analyzed data. The proposed method is used to analyze the raw vibration data collected from a sun gear unit and a roller bearing unit. Experimental results show that the proposed method is superior to other state-of-the-art methods.

Item Type:
Journal Article
Journal or Publication Title:
IEEE ASME Trans Mechatron
Additional Information:
©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords:
?? electrical and electronic engineeringcomputer science applicationscontrol and systems engineeringcontrol and systems engineeringcomputer science applicationselectrical and electronic engineering ??
ID Code:
Deposited By:
Deposited On:
10 Mar 2022 13:30
Last Modified:
26 Jan 2024 01:28