- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | LIU Yumei, CHEN Yun, ZHAO Congcong, XIONG Mingye. Vibration Evaluation and Reliability Analysis of High-Speed Train Transmission System Based on Kernel Density Estimator and Markov Model[J]. Journal of Southwest Jiaotong University, 2022, 57(4): 783-790, 796. doi: 10.3969/j.issn.0258-2724.20200542
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In order to study the vibration and reliability of the transmission system during the operation of a high-speed train, the vibration acceleration data of the key components of the CRH3 high-speed train transmission system are collected for a real vehicle and the kernel density estimator (KDE) method is used in statistical processing. Through data processing, an approximate curve of the probability density function of the vibration response of each key component in all directions is obtained, and the vibration of the key components of the transmission system is evaluated using the curve. The optimal confidence interval of the vibration acceleration of each key component is calculated using MATLAB. Two states of “safe” and “failure” are defined for the transmission system and key components of the transmission system, and a Weibull model of the proportional failure rate of the key components and the Markov state transition model of the drive train are established. The current state of the drive train is the initial state. Changes in the reliability of the transmission system are analyzed using the real-time failure rate and maintenance rate. The results show that the vertical vibration is strongest for the axle box bearings, gearboxes, and motor bearings in the drive train, and the vibration acceleration is concentrated in the range of 25 times, 20 times, and 10 times the acceleration of gravity, with a probability of 99.75%, respectively. It is in the range of 20.5026 times, 17.6712 times, 11.4693 times the gravitational acceleration. The optimal confidence interval for the vibration acceleration probability of each key component to be 99.75% is calculated, which provides a reference for the optimization of the system’s vibration monitoring threshold and fault evaluation. The failure rate and maintenance rate are the key factors affecting the state probability of the transmission system. An increase in the failure rate of approximately 30% reduces the state probability of the system by approximately 10%, whereas an increase in the maintenance rate from 0.05 to 0.10 increases the reliability of the system by approximately 20%.
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