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现代装备故障诊断研究
引用本文:董立立,黄道.现代装备故障诊断研究[J].机床与液压,2006(5):196-199.
作者姓名:董立立  黄道
作者单位:1. 华东理工大学,上海,200237;解放军军械工程学院,河北石家庄,050003
2. 华东理工大学,上海,200237
摘    要:现代工程装备结构的复杂性、运行环境的独特性和诱发故障的多源性使得装备故障诊断越来越困难,利用新的科学理论探索新的诊断预测方法是该研究领域的一个重要方面。本文在综合大量文献的基础上.分析了各种诊断预测理论与方法的优缺点,预测了诊断预测的发展趋势,并指出了该领域中有待进一步研究的问题。

关 键 词:智能诊断  专家系统  神经网络  模糊理论
文章编号:1001-3881(2006)5-196-4
收稿时间:2005-02-18
修稿时间:2005年2月18日

Study on Modern Equipment Fault Diagnosis
DONG Lili,HUANG Dao.Study on Modern Equipment Fault Diagnosis[J].Machine Tool & Hydraulics,2006(5):196-199.
Authors:DONG Lili  HUANG Dao
Affiliation:1. East China University of Science and Technology , Shanghai 200237, China; 2. Ordnance Engineering College, Shijiazhuang Hebei 050003, China
Abstract:The fault diagnosis is a difficult problem due to the complex structure of modem equipment and the unique operating environment as well as the presence of multi - source of faults. Developing new diagnosis approaches by using new theories is an impor- tant work of fault researchers. Based on a lot of documents and references, the advantages and limitations of fault diagnosis theories and methods were analyzed, the developing trend of this technique was predicted, and several scientific questions that should be taken and furthermore studied in the modem fault diagnosis field were put forward.
Keywords:Intelligence diagnosis  Expert system  Neural network  Fuzzy theory
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