节点文献
基于知识的故障诊断方法综述
Survey of knowledge-based fault dia gnosis methods
【摘要】 在简单介绍故障诊断理论的基础上,重点评述了基于知识的故障诊断方法发展状况,将其分为5大类,即专家系统故障诊断方法;模糊故障诊断方法;故障树故障诊断方法;神经网络故障诊断方法和数据融合故障诊断方法。对每类方法均介绍了它的诊断原理与步骤,分析了它的特点及局限性,最后指出了这一领域中有待进一步研究的若干问题和发展趋势。
【Abstract】 Reviews the state of the fault diagnosis methods based on the brief introd uction the fault diagnosis theory was introduced.First,the fault dia gnosis methods are classified into f ive categories:expert system fault diagnosis;fuzzy fault diagnosis;fault tree fa ult diagnosis;neural network fault diagnosis and data fusion fault diagnosis.Then the step of every fault diagnosis methods is presented,the most importan t peculiarity and their limitations in each category are introduced and analyze d.Finally,further problems to be studied in this field and the developme nt trends are pointed out.
【Key words】 fault diagnosis; expert system; fuzzy diagnosis; fault tree; neural network; data fusion;
- 【文献出处】 安徽工业大学学报(自然科学版) , 编辑部邮箱 ,2002年03期
- 【分类号】TP277
- 【被引频次】351
- 【下载频次】3418