期刊文献+

基于振动分析的新干线转向架的状态监视 被引量:4

The Condition Monitoring for Shinkansen Bogies Based on Vibration Analysis
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摘要 介绍了2种方法用于检测转向架某些部件故障。这2种方法是建立在振动加速度统计分析的基础上的。方法之一是当1台转向架的部件发生故障时,比较同一辆车前后转向架的振动状态。方法之二是通过检测振动加速度峰值的振幅和持续时间来检测故障迹象。通过模拟转向架部件某些故障的试验并进行分析,可以确认这2种方法用于新干线转向架的状态监视是可靠的。 It is described two algorithms for detecting faults in some parts of bogies. The two algorithms are based on the statistical analysis of vibration acceleration. One algorithm compares the vibration states between the front and rear bogies in the same car when one bogie has faulty parts. The other algorithm detects the signs of faults by examining the amplitude and duration of the peaks of measured vibration acceleration. Through the experiments simulating some faults in bogie parts and analysis. It is demonstrated the reliability of the schemes developed in this study for monitoring the condition of Shinkansen Bogies.
出处 《国外铁道车辆》 2013年第3期32-40,共9页 Foreign Rolling Stock
关键词 转向架 状态监视 日本 bogie monitoring the condition Japan
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参考文献4

  • 1Morimura, T.. A Note on Research and Development to the condition monitoring system [J]. Japan Railway Engineers ' Association 2005,51 (7) : 8- 11.
  • 2Hayashi. Y.. Tsunashima, H. and Marumo. Y.. Fault Detection on P.ailway Vehicle Suspension Systems Using Muhple Model Approach[J].Journal of Mechanical Systems for Transportation and l.ogistics. 2008,1 (4): 88-99.
  • 3Goodall, R. M. and Mei, T. X.. Advanced Control and Monitoring for Railway Vehicle Suspensions[C]. Proceeding of International Symposium on Speed up and Service Technology for Railway anct Maglev System 2006(STECH 2006),2006-7.
  • 4Goodall, R. M. and Roberts, C.. Concept and Technique for Railway Condition Monitorlng[C]. Proceedings of International Conference on Railway Condition Monitoring 2006,2006-11,90- 95.

同被引文献46

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  • 2刘建新,王开云,封全保,赵怀耘.横向减振器对机车平稳性能的影响[J].交通运输工程学报,2006,6(3):1-4. 被引量:27
  • 3戴吾蛟,丁晓利,朱建军,陈永奇,李志伟.基于经验模式分解的滤波去噪法及其在GPS多路径效应中的应用[J].测绘学报,2006,35(4):321-327. 被引量:145
  • 4孙惠琴,刘峰,赵恩江.基于粗集的转向架故障诊断研究[J].铁道机车车辆,2007,27(4):4-5. 被引量:4
  • 5ZHOU Y L, ZHAO P. Vibration fault diagnosis method of centrifu- gal pump based on EMD complexity feature and least square support vector machine [J]. Energy Procedia, 2012, 17, Part A: 939 - 945.
  • 6ZVOKELJ M, ZUPAN S, PREBIL I. Non-linear multivariate and multiscale monitoring and signal denoising strategy using Kernel Principal Component Analysis combined with Ensemble Empirical Mode Decomposition method [J]. Mechanical Systems and Signal Processing, 2011, 25(7): 2631 -2653.
  • 7LEI Y, HE Z, ZI Y. EEMD method and WNN for fault diagnosis of lo- comotive roller bearings [J]. Expert Systems with Applications, 2011, 38(6): 7334 - 7341.
  • 8CHEN W T, WANG Z Z, XIE H B, et al. Characterization of surface EMG signal based on fuzzy entropy [J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2007, 15(2): 266 - 272.
  • 9WU Z, HUANG N E. Ensemble empirical mode decomposition: a noise-assisted data analysis method [J]. Advances in Adaptive Data Analysis, 2009, 1(1): 1 - 41.
  • 10AN X, JIANG D, LI S, et al. Application of the ensemble empiri- cal mode decomposition and Hilbert transform to pedestal looseness study of direct-drive wind turbine [J]. Energy, 2011, 36(9): 5508 - 5520.

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