Fault Diagnosis of High-Speed Train Bogie Based on Synchrony Group Convolutions

Joint Authors

Zhang, Sun
Wu, Yunpu
Jin, Weidong
Ren, Junxiao

Source

Shock and Vibration

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-11-07

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Civil Engineering

Abstract EN

Health monitoring and fault diagnosis of a high-speed train is an important research area in guaranteeing the safe and long-term operation of the high-speed railway.

For a multichannel health monitoring system, a major technical challenge is to extract information from different channels with divergence patterns as a result of distinct types and layout of sensors.

To this end, this paper proposes a novel group convolutional network based on synchrony information.

The proposed method is able to gather signals with similar patterns and process these channels with specific groups of neurons while simultaneously assigning signals with significant difference to different groups.

In this approach, the feature can be extracted more effectively and the performance can be improved, owing to the sharing of filters for similar patterns.

The effectiveness of the method is validated on high-speed train fault dataset.

Experiments show that the proposed model performs better than normal convolutions and normal group convolutions on this task, which achieves an accuracy of 98.27% (σ = 1.73) with good computational efficiency.

American Psychological Association (APA)

Wu, Yunpu& Jin, Weidong& Ren, Junxiao& Zhang, Sun. 2019. Fault Diagnosis of High-Speed Train Bogie Based on Synchrony Group Convolutions. Shock and Vibration،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1211498

Modern Language Association (MLA)

Wu, Yunpu…[et al.]. Fault Diagnosis of High-Speed Train Bogie Based on Synchrony Group Convolutions. Shock and Vibration No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1211498

American Medical Association (AMA)

Wu, Yunpu& Jin, Weidong& Ren, Junxiao& Zhang, Sun. Fault Diagnosis of High-Speed Train Bogie Based on Synchrony Group Convolutions. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1211498

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1211498