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Research Article

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

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  • @ARTICLE{10.4108/ew.3908,
        author={Na Meng and Sha Li and Meizhu Li and Jiang Wei and Sheng Wang},
        title={Automatic Fault Diagnosis Technology of Roller Bearings of High-speed Rail Based on IFD and AE},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={10},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2023},
        month={9},
        keywords={Incipient Failure Detection, Acoustic emission, Roller bearing, Diagnostic technique},
        doi={10.4108/ew.3908}
    }
    
  • Na Meng
    Sha Li
    Meizhu Li
    Jiang Wei
    Sheng Wang
    Year: 2023
    Automatic Fault Diagnosis Technology of Roller Bearings of High-speed Rail Based on IFD and AE
    EW
    EAI
    DOI: 10.4108/ew.3908
Na Meng1, Sha Li1, Meizhu Li1, Jiang Wei1, Sheng Wang1,*
  • 1: The Open University of Shaanxi
*Contact email: 101170084@ousn.edu.cn

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.

Keywords
Incipient Failure Detection, Acoustic emission, Roller bearing, Diagnostic technique
Received
2023-02-17
Accepted
2023-08-28
Published
2023-09-19
Publisher
EAI
http://dx.doi.org/10.4108/ew.3908

Copyright © 2023 Meng et al., licensed to EAI. This open-access article is distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transforming, and building upon the material in any medium so long as the original work is properly cited.

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