引用本文:刘敏华,萧德云.基于趋势分析和SDG模型的故障诊断[J].控制理论与应用,2006,23(2):306~310.[点击复制]
LIU Min-hua,XIAO De-yun.Fault diagnosis based on trend analysis and SDG[J].Control Theory and Technology,2006,23(2):306~310.[点击复制]
基于趋势分析和SDG模型的故障诊断
Fault diagnosis based on trend analysis and SDG
摘要点击 1899  全文点击 936  投稿时间:2005-02-01  修订日期:2005-07-14
查看全文  查看/发表评论  下载PDF阅读器
DOI编号  10.7641/j.issn.1000-8152.2006.2.028
  2006,23(2):306-310
中文关键词  故障诊断  定向符号图  趋势分析
英文关键词  fault diagnosis  SDG  trend analysis
基金项目  国家高技术研究发展计划(863计划)资助项目(2003AA421310)
作者单位
刘敏华,萧德云 清华大学自动化系,北京100084 
中文摘要
      基于趋势分析的故障诊断受数据影响较大,基于定向符号图(signed directed graph)模型的故障诊断难于建模和推理,而两者结合以提高故障诊断效果的方法还未被考虑.本文将趋势分析的趋势信息和SDG模型的节点信息进行了比较,阐明了两者信息互补的特点,然后利用趋势分析建立SDG模型,并利用SDG模型改进基于趋势分析的故障诊断,建立了数据驱动方法和基于模型方法相结合的故障诊断方法.CSTR(continuous stirred-tank reactor)实例分析表明,基于趋势分析和SDG模型的故障诊断方法提高了诊断的准确性和精确性.
英文摘要
      Fault diagnosis based on trend analysis is affected by data,while the one based on signed directed graph(SDG)is difficult to model and infer.The combination of both in order to improve the effect of fault diagnosis has not been considered yet.The trend information of trend analysis is compared with the node information of SDG,which shows that they complement each other.Then trend analysis is applied to SDG modeling,and the fault diagnosis based on trend analysis is modified with corresponding SDG.So the new data-driven and model-based method of fault diagnosis is built.The example of continuous stirred-tank reactor(CSTR) illustrates the veracity and accuracy of fault diagnosis based on trend analysis and SDG.