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Deep Learning Methods for Vibration-Based Structural Health Monitoring: A Review

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Abstract

The vibration signal is an effective diagnostic tool in structural health monitoring (SHM) fields that is closely related to abnormal states. Deep learning methods have got remarkable success in utilizing vibration signals for damage detection. This paper presents a systematic review of deep learning methods for SHM, focusing on the utilization of vibration signal data from different model perspectives. In recent years, there has been a significant increase in research on deep learning for vibration-based SHM. The accuracy of such works is equivalent to that of traditional machine learning approaches, and better results could be achieved by integrating multiple approaches. Furthermore, we found that transfer learning methods yield promising results when limited data are available to train the model. This paper aims to comprehensively review deep learning research on health monitoring using vibration signal data from multiple perspectives, with a particular emphasis on transfer learning methods for SHM. It fills the gap that existing reviews lack in the discussion of transfer learning for SHM. Finally, we analyze the challenges faced by current research and provide recommendations for future work.

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Acknowledgements

This work was supported in part by the Computer Science and Technology Subject Project of Yuncheng University, the National Natural Science Foundation of China (Nos. 61703363), the Natural Science Foundation of Shanxi Province, China (Grant No. 201901D211462), the Open Project Foundation of Intelligent Information Processing Key Laboratory of Shanxi Province (Grant No. CICIP2022002), and the Graduate Education Innovation Program Project of Shanxi Province, China (Grant No. 2022YJJG258)

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  1. School of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China

    Hao Wang, Baoli Wang & Caixia Cui

  2. School of Mathematics and Information Technology, Yuncheng University, Yuncheng, 044000, China

    Baoli Wang

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Wang, H., Wang, B. & Cui, C. Deep Learning Methods for Vibration-Based Structural Health Monitoring: A Review. Iran J Sci Technol Trans Civ Eng (2023). https://doi.org/10.1007/s40996-023-01287-4

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