基于集成模式的多参数综合智能故障诊断  

Comprehensive Intelligent Fault Diagnosis with Multi-parameters Based on Integrated Model

作　　者：董振兴[1] 史定国[2] 张东山[2] 杨汝清[1] 

机构地区：[1]上海交通大学机器人研究所,上海200030 [2]华东理工大学化工机械研究所,上海200237

出　　处：《华东理工大学学报（自然科学版）》2001年第3期294-296,共3页Journal of East China University of Science and Technology

摘　　要：基于产生式规则、事例、模糊诊断、神经网络集成模式 ,提出了多参数综合智能故障诊断方法 ,分析了多种诊断方法集成的必要性 ,以及该方法的知识表示、智能推理诊断及知识学习。A comprehensive intelligent fault diagnostic method with multi parameters is proposed. This method combines process and vibration parameters, adopts hierarchical and categorized diagnostic strategy and integrates rules based model, cases based model, fuzzy logic and neural networks. The necessity to integrate multiple fault diagnosis approaches is analyzed. Furthermore, the knowledge representation, intelligent inference and knowledge learning of this method are presented. This method has been applied to a condition monitoring and fault diagnosis system. The industry application shows this method is useful and effective.

关 键 词：故障诊断 人工智能 神经网络 模糊诊断 产生式规则 知识规则 智能推理诊断 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]