Research on rail fastener failure diagnosis method based on LabVIEW

YANG Yuhan; WANG Anbin; WANG Lei; CHEN Yang

doi:10.12299/jsues.24-0240

Volume 40 Issue 1

Mar. 2026

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YANG Yuhan, WANG Anbin, WANG Lei, CHEN Yang. Research on rail fastener failure diagnosis method based on LabVIEW[J]. Journal of Shanghai University of Engineering Science, 2026, 40(1): 49-54. doi: 10.12299/jsues.24-0240

Citation:

YANG Yuhan, WANG Anbin, WANG Lei, CHEN Yang. Research on rail fastener failure diagnosis method based on LabVIEW[J]. Journal of Shanghai University of Engineering Science, 2026, 40(1): 49-54. doi: 10.12299/jsues.24-0240

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Research on rail fastener failure diagnosis method based on LabVIEW

doi: 10.12299/jsues.24-0240

School of Urban Railway Transportation, Shanghai University of Engineering Science, Shanghai 201620, China

Received Date: 2024-08-23
Available Online: 2026-05-27
Publish Date: 2026-03-01

Abstract

Abstract

Fasteners are important components connecting the rail and the supporting structure. To facilitate research on fastener failure diagnosis methods, a track fastener failure diagnosis system integrating signal acquisition, storage, and analysis was developed based on LabVIEW. The NI-cRIO9056 chassis and the NI-9234 voltage module were used as the hardware to acquire the vibration signals. To address the difficulty in extracting the characteristic frequency of fastener failure, a method combining wavelet packet and Hilbert envelope spectrum was proposed. The acquired vibration signals were first subjected to wavelet packet decomposition, and signals in the frequency bands with large energy changes were reconstructed. Finally, the Hilbert envelope spectrum was used to identify the fastener status. Experimental results show that this method can accurately diagnose fastener failure.
- LabVIEW software,
- fastener failure,
- diagnostic method,
- wavelet packet analysis,
- Hilbert envelope spectrum

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References(12)

References

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