logo

SCIENCE CHINA Information Sciences, Volume 63 , Issue 9 : 199202(2020) https://doi.org/10.1007/s11432-018-9734-9

Principal component analysis and belief-rule-base aided health monitoring method for running gears of high-speed train

More info
  • ReceivedOct 18, 2018
  • AcceptedDec 12, 2018
  • PublishedMar 26, 2020

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported by National Natural Science Foundation of China (Grant Nos. 61751304, 61803044) and Jilin Scientific and Technological Development Program (Grant Nos. 20180201125GX, 20160520020JH).


References

[1] Zhou D H, Ji H Q, He X. Fault Detection and Isolation of the Brake Cylinder System for Electric Multiple Units. IEEE Trans Contr Syst Technol, 2018, 26: 1744-1757 CrossRef Google Scholar

[2] Ning B, Dong H R, Gao S G. Distributed cooperative control of multiple high-speed trains under a moving block system by nonlinear mapping-based feedback. Sci China Inf Sci, 2018, 61: 120202 CrossRef Google Scholar

[3] Miao Q, Zhang X, Liu Z. Condition multi-classification and evaluation of system degradation process using an improved support vector machine. MicroElectron Reliability, 2017, 75: 223-232 CrossRef Google Scholar

[4] Huang D R, Ke L Y, Chu X Y. Fault diagnosis for the motor drive system of urban transit based on improved Hidden Markov Model. MicroElectron Reliability, 2018, 82: 179-189 CrossRef Google Scholar

[5] Shebani A, Iwnicki S. Prediction of wheel and rail wear under different contact conditions using artificial neural networks. Wear, 2018, 406-407: 173-184 CrossRef Google Scholar

[6] Swetapadma A, Yadav A. Data-mining-based fault during power swing identification in power transmission system. IET Science Measurement & Technology, 2016, 10: 130-139 CrossRef Google Scholar

[7] Shen T L, Eriksson L. Special focus on learning and real-time optimization of automotive powertrain systems. Sci China Inf Sci, 2018, 61: 070200 CrossRef Google Scholar

[8] Yang J B, Liu J, Wang J. Belief rule-base inference methodology using the evidential reasoning Approach-RIMER. IEEE Trans Syst Man Cybern A, 2006, 36: 266-285 CrossRef Google Scholar

  • Figure 1

    (Color online) (a) Result of the updated BRB estimation of health status of the running gear system; protectłinebreak (b) temperature and vibration data distribution status results; (c) CMA-ES optimized BRB parameters.

Copyright 2020 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有

京ICP备17057255号       京公网安备11010102003388号