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机械故障预测模型综述

REVIEW OF MODELS IN MACHINERY FAULT PREDICTION

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【作者】 薛子云杨江天朱衡君

【Author】 XUE ZiYun YANG JiangTian ZHU HengJun (School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China)

【机构】 北京交通大学机械与电子控制学院北京交通大学机械与电子控制学院 北京100044北京100044

【摘要】 总结机械故障预测技术的发展,分析预测模型在故障预报中的重要作用。着重介绍目前常用的预测模型及其优缺点,探讨各模型的适用范围和应用情况。最后讨论这一领域的发展趋势,指出多参数预测和组合预测在机械故障预报中的重要意义。

【Abstract】 An overview and classification of fault prediction techniques in machinery systems is presented. The importance of applied modeling approaches in fault forecast is introduced. Emphasis is focused on the advantages and disadvantages of the conventional forecasting models. The suitable range and applications of these models are also shown. Moreover, the trend of machinery fault prediction is discussed. For precise and reliable machinery fault detection, it is essential to use multivariable forecasting modes to describe the changes in several diagnostic indices. There are various trends in machinery fault development, so the fault quantification could be performed by means of combined forecast models.

  • 【文献出处】 机械强度 ,Journal of Mechanical Strength , 编辑部邮箱 ,2006年S1期
  • 【分类号】TH17
  • 【被引频次】85
  • 【下载频次】1650
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