Feature Analysis of Degradation Signal of Rolling Stock Lateral Damper

Zhiyan Zhao,Bin Wu,Ting Zhou

doi:10.3390/info11060298

Abstract

The lateral damper is one of the key components of rolling stock. Establishing the relationship between the degraded signal and the health state of the lateral damper is important in order to perform timely performance detection and fault diagnosis. This paper proposes a wavelet packet cross-correlation method (WPCC) that is based on wavelet packet transform (WPT) and cross-correlation analysis (CCA). First, the vibration signals under different running speeds, different running conditions, and different track excitations were collected and analyzed. Second, the wavelet packet transform was used to select larger energy band signals for reconstruction. Subsequently, the WPCC coefficient was calculated between the reference signal and the signal to be measured. The proposed method was applied to analysis of vibration signals of the lateral damper performance degradation. The lateral damper health condition was divided into four intervals, and the average accuracy calculated under different running speeds, different running conditions, and different track excitation was 95%.

Highlights

The research and development of rolling stock technology has made the running speed of trains continue to increase
In the course of use, the lateral damper will undergo a process of failure from normal to degradation, due to various internal and external factors
The wavelet packet transformation (WPT) method is developed on the basis of the multi-resolution

Summary

Introduction

The research and development of rolling stock technology has made the running speed of trains continue to increase. The lateral damper is one of the key components that affect the running performance of the train. The vibration can be effectively suppressed in the lateral direction of the train, and to ensure riding performance [1]. In the course of use, the lateral damper will undergo a process of failure from normal to degradation, due to various internal and external factors. Different running states of rolling stock will show different data characteristics. The current maintenance method of lateral dampers is regular maintenance. As the running speed increases, the future development trend will inevitably be to carry out state maintenance to identify the health status of components

Methods

Results

Conclusion