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计算机工程 ›› 2010, Vol. 36 ›› Issue (14): 150-152. doi: 10.3969/j.issn.1000-3428.2010.14.054

• 人工智能及识别技术 • 上一篇    下一篇

智能故障诊断方法及其应用

黄元亮,钱清泉,肖腾蛟   

  1. (暨南大学电气自动化研究所,珠海 519070)
  • 出版日期:2010-07-20 发布日期:2010-07-20
  • 作者简介:黄元亮(1963-),男,副教授、博士,主研方向:智能故障诊断,牵引供电电能质量研究;钱清泉,中国工程院院士、教授、博士生导师;肖腾蛟,本科生
  • 基金资助:

    铁道部科技计划基金资助项目(2008J002)

Intelligence Fault Diagnosis Method and Its Application

HUANG Yuan-liang, QIAN Qing-quan, XIAO Teng-jiao   

  1. (Electric Automatization Institute, Jinan University, Zhuhai 519070)
  • Online:2010-07-20 Published:2010-07-20

摘要:

基于第一原理的一致性故障诊断原理,提出以二分相容检验为基础的最大正常故障诊断理论。该理论融合一致性故障诊断与溯因诊断的核心原理,弥补了基于模型的智能故障诊断理论中矛盾集构造研究的薄弱环节,减少相容性检验的对象,缩小诊断空间,提高诊断的准确性,具有较好应用性。应用实例验证了该理论的有效性。

关键词: 故障诊断, 溯因诊断, 二分相容检验, 最大正常诊断

Abstract:

According to the theory of consistency fault diagnosis based on first theory, the max-normal diagnosis theory based on dimidiate- consistent test is proposed. It integrates the kernel theory of consistent fault diagnosis and abductive diagnosis, not only makes up the weakness to construct the conflict set in intelligent fault diagnosis based on model, but also decreases the number of the objects in the consistency test and shrinks the space of diagnosis. Diagnostic accuracy is so greatly improved, the theory has better application. Application example proves the efficiency of this theory.

Key words: fault diagnosis, abductive diagnosis, dimidiate-consistent test, max-normal diagnosis

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