Research On Lifecycle-Oriented Fault Diagnosis Technology For Complex System

The Complex System plays an essential role in the national economy. But the increasing complicated structure and control system make it more easily fault. How to improve and support its reliability and validity becomes an urgent problem for customers. On the other hand, product competition focuses on the development stage and after sale stage, many manufacturers have to face the problem to provide more reliable product and rapid effective diagnosis and maintenance service for customer. How to resolve these problems is very valuable.Based on the above motivation, this dissertation proposes the Lifecycle-Oriented Diagnosis and Maintenance Philosophy for complex system, expounding its connotation and three-dimensional view in detail, which supported by network and remote communication technology aims to integrate and manage all fault data and information in the complex system's lifecycle, build and keep the lifecycle information flow, and develop relative applications based on the flow. The main contents and innovations are as following:Firstly, it proposes the Lifecycle-Oriented Diagnosis and Maintenance Philosophy, which guiding the research on Lifecycle-Oriented Diagnosis and Maintenance System for Complex System. And then the system's description model, architecture and logical structure are presented. And the necessity, feasibility and meaning of the system's integration with enterprise management system are analyzed, which can be used for reference when developing similar system.Secondly, the Application Model of diagnosis and maintenance knowledge is proposed, and the concepts of Knowledge Unit and Knowledge Modeling are defined. The methods of knowledge sharing and innovative using are presented based on the built Knowledge Unit Model. By using the Knowledge Unit Model and Knowledge Code, the diagnosis and maintenance knowledge's organization, management and reusing are implemented, which improves the management and application level of enterprise's knowledge resources. This work not only benefits product's design and reliability but also bridges the system design and development of fault diagnosis system.Thirdly, the methods of producing rules and Bayesian network from Knowledge Unit are presented, the architecture of an integrated intelligent diagnosis system is designed based on Knowledge Unit. The method of using rough sets to acquire rules from condition data and ascertaining rules' creditability are also put forward. Then the integration strategy to combine rule-based reasoning, case-based reasoning and Bayesian Network reasoning is given, Bayesian Network can resolve the faults' uncertainty problem effectively.Fourthly, the meaning of Complex System Health Management is discussed, and its monitoring mode and information view are presented. Then the Distributed Multi-Agent Health Monitoring Architecture and its functioning mechanism based on immune...