| 远程智能故障诊断技术的现状与展望 |
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| 引用本文： | 姜万录,程晓盛,陈东宁.远程智能故障诊断技术的现状与展望[J].机床与液压,2006(3):237-240. |
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| 作者姓名： | 姜万录 程晓盛 陈东宁 |
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| 作者单位： | 燕山大学机械工程学院,河北秦皇岛,066004 |
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| 基金项目： | 教育部高校骨干教师资助计划;河北省教育厅博士科研项目 |
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| 摘 要： | 研究了远程故障诊断系统的体系结构和智能故障诊断方法。并阐述了其关键技术。对其体系结构，主要研究了C／S、B／S和多层混合模式；对智能故障诊断方法，主要研究了基于神经网络、模糊推理及模糊数学、遗传算法和诊断Agent的智能故障诊断方法；对其关键技术，主要研究了分布处理技术、数据库技术、虚拟现实技术、信息处理技术和信息融合技术。最后对远程智能故障诊断技术的发展趋势进行了展望。
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| 关 键 词： | 故障诊断 远程故障诊断 智能诊断方法 |
| 文章编号： | 1001-3881(2006)3-237-4 |
| 收稿时间： | 2004-12-17 |
| 修稿时间： | 2004年12月17 |
Status Quo and Development Tendency of Remote Intelligent Fault Diagnosis Technology |
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| JIANG Wanlu,CHENG Xiaosheng,CHEN Dongning.Status Quo and Development Tendency of Remote Intelligent Fault Diagnosis Technology[J].Machine Tool & Hydraulics,2006(3):237-240. |
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| Authors: | JIANG Wanlu CHENG Xiaosheng CHEN Dongning |
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| Affiliation: | College of Mechanical Engineering, Yanshan University, Qinhuangdao Heibei 066004, China |
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| Abstract: | The system structures of the remote fault diagnosis system and the intelligent fault diagnosis technologies were researched, and its key technologies were expatiated. The system structures include C/S, B/S and mixing of them. The intelligent fault diagnosis methods include the artificial neural network, the fuzzy inference, the genetic algorithm and the diagnosis agent. The distributed data processing, the database, the virtual reality, the information processing and the information fusion technologies were expatiated in the key technology part. The development tendency of remote intelligent fault diagnosis technology was pointed out. |
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| Keywords: | Fault diagnosis Remote fault diagnosis Intelligent diagnosis method |
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