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Transfer learning with 2D vibration images for fault diagnosis of bearings under variable speed.

Ahmad, Zahoor; Hasan, Md Junayed; Kim, Jong-Myon

Authors

Zahoor Ahmad

Jong-Myon Kim



Contributors

Ajith Abraham
Editor

Niketa Gandhi
Editor

Thomas Hanne
Editor

Tzung-Pei Hong
Editor

Tatiane Nogueira Rios
Editor

Weiping Ding
Editor

Abstract

One of the most critical assignments in fault diagnosis is to decide the finest set of features by evaluating the statistical parameters of the time-domain signals. However, these parameters are vulnerable under variable speed conditions, i.e., different loads, and speeds to capture the dynamic attributes of various health types. Therefore, this paper proposes a vibration imagining-based diagnosis approach for bearing under variable speed conditions. First, a Discrete Cosine Stockwell Transformation (DCST) coefficient-based preprocessing step is proposed to create an identical health pattern for variable speed conditions. Then, from that 2D coefficient matrix, a vibration image is created to capture those health patterns into grayscale. Finally, a Transfer Learning embedded Convolutional Neural Network (TL-CNN) is proposed to inspect the comprehensive structure of the 2D vibration images for final classification. The experimental results show that the proposed method achieved 100% classification accuracy on a publicly available dataset.

Citation

AHMAD, Z., HASAN, M.J. and KIM, J.-M. 2022. Transfer learning with 2D vibration images for fault diagnosis of bearings under variable speed. In Abraham, A., Gandhi, N., Hanne, T., Hong, T.-P., Rios, T.N. and Ding, W. (eds.) Intelligent systems design and applications: proceedings of 21st International conference on intelligent systems design and applications (ISDA 2021), 13-15 December 2021, [virtual event]. Lecture notes in networks and systems, 418. Cham: Springer [online], pages 154-164. Available from: https://doi.org/10.1007/978-3-030-96308-8_14

Conference Name 21st International conference on intelligent systems design and applications (ISDA 2021)
Conference Location [virtual event]
Start Date Dec 13, 2021
End Date Dec 15, 2021
Acceptance Date Nov 5, 2021
Online Publication Date Mar 27, 2022
Publication Date Mar 27, 2022
Deposit Date Nov 3, 2022
Publicly Available Date Mar 28, 2024
Publisher Springer
Pages 154-164
Series Title Lecture notes in networks and systems (LNNS)
Series Number 418
Series ISSN 2367-3389
Book Title Intelligent systems design and applications: proceedings of 21st International conference on intelligent systems design and applications (ISDA 2021), 13-15 December 2021
ISBN 9783030963071
DOI https://doi.org/10.1007/978-3-030-96308-8_14
Keywords Bearing; Condition monitoring; Convolutional neural network; Stockwell transformation; Transfer learning
Public URL https://rgu-repository.worktribe.com/output/1799360
Additional Information In addition to this record, Md Junayed Hasan has also authored the following chapter from the same book title:
AHMAD, Z., HASAN, M.J. and KIM, J.-M. 2022. Centrifugal pump fault diagnosis using discriminative factor-based features selection and K-nearest neighbors. In Abraham, A., Gandhi, N., Hanne, T., Hong, T.-P., Rios, T.N. and Ding, W. (eds.) Intelligent systems design and applications: proceedings of 21st International conference on intelligent systems design and applications (ISDA 2021), 13-15 December 2021, [virtual event). Lecture notes in networks and systems, 418. Cham: Springer [online], pages 145-153. Available from: https://doi.org/10.1007/978-3-030-96308-8_13