Automatic Fault Diagnosis Technology of Roller Bearings of High-speed Rail Based on IFD and AE

Authors

  • Na Meng The Open University of Shaanxi
  • Sha Li The Open University of Shaanxi
  • Meizhu Li The Open University of Shaanxi
  • Jiang Wei The Open University of Shaanxi
  • Sheng Wang The Open University of Shaanxi

DOI:

https://doi.org/10.4108/ew.3908

Keywords:

Incipient Failure Detection, Acoustic emission, Roller bearing, Diagnostic technique

Abstract

INTRODUCTION: With the development of technology and policy support, high-speed rail's temporal and spatial layout is gradually expanding, and it becomes essential to ensure high-safety operation.

OBJECTIVES: The real-time correlation fault diagnosis technology of critical components of electromechanical systems of high-speed trains is analyzed, and a new method of automatic fault diagnosis based on genetic support vector machine is proposed.

METHODS: In this study, the Author combines two techniques, IFD and AE, and introduces an adaptive weighting algorithm to fuse the data of the two and experimentally verify their accuracy.

RESULTS: The experimental results show that in the IFD experiment, the 2-point frequency at 1050 speed is 347.6 Hz, and the 3-point frequency is 498.4 Hz, both of which are very close to the 2 and 3 times frequencies of the 1-point frequency, and the multiplicative relationship is much more straightforward.

CONCLUSION: Combining IFD and AE can realize automatic and accurate diagnosis of bearing state and pre-diagnosis of bearings by adaptive weighted fusion algorithm, which is effective in the practical mechanical diagnosis of rolling bearing faults in high-speed railroads.

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Published

19-09-2023

How to Cite

1.
Meng N, Li S, Li M, Wei J, Wang S. Automatic Fault Diagnosis Technology of Roller Bearings of High-speed Rail Based on IFD and AE. EAI Endorsed Trans Energy Web [Internet]. 2023 Sep. 19 [cited 2024 May 25];10. Available from: https://publications.eai.eu/index.php/ew/article/view/3908