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

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


There is no abstract available for this article.


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).


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  • 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.