| 现代故障诊断技术研究现状与趋势 |
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| 引用本文： | 赵翔,黄磊,刘健,周绍骑. 现代故障诊断技术研究现状与趋势[J]. 后勤工程学院学报, 2006, 22(2): 94-98 |
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| 作者姓名： | 赵翔 黄磊 刘健 周绍骑 |
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| 作者单位： | 后勤工程学院,军事供油工程系,重庆,400016;后勤工程学院,科研部,重庆,400016 |
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| 摘 要： | 回顾了状态监测与故障诊断技术的发展历史,归纳和总结了基于系统数学模型、基于系统输入输出信号处理以及基于人工智能等途径的故障诊断方法。从混合智能诊断技术、BIT技术、远程协作诊断技术3个方面,对现代故障诊断技术的发展趋势和有待解决的问题进行了分析与探讨。提出了故障诊断领域目前和将来的研究方向。
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| 关 键 词： | 故障诊断 分析冗余 信号处理 人工智能 信息融合 机内测试 远程诊断 |
| 文章编号： | 1672-7843(2006)02-0094-05 |
| 修稿时间： | 2005-11-15 |
The Status Quo and Trend of Research on Modern Fault Diagnosis |
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| ZHAO Xiang,HUANG Lei,LIU Jian,ZHOU Shao-qi. The Status Quo and Trend of Research on Modern Fault Diagnosis[J]. Journal of Logistical Engineering University, 2006, 22(2): 94-98 |
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| Authors: | ZHAO Xiang HUANG Lei LIU Jian ZHOU Shao-qi |
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| Abstract: | This paper has summarized the history and status quo of the theory and engineering application for fault diagnostic technique, analyzed the process and essence of fault diagnostic, introduced some diagnostic methods in common use, and especially mentioned some new trends of modern diagnostic methods as hybrid intelligent diagnosis, BIT and remote co-operative diagnosis. Lastly,we point out some problems that should be emphasized, and predict some future research directions about modern fault diagnosis. |
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| Keywords: | fault diagnosis analytical redundancy signal processing AI information fusion BIT remote diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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