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Computer Fault Diagnosis Expert System

Posted on:2011-07-19Degree:MasterType:Thesis
Country:ChinaCandidate:J W ZhaoFull Text:PDF
GTID:2178360308454363Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Diagnosis Expert System for research and application of fault diagnosis and exclusion are very important to prevent failure.Foreign attaches great importance to the early 20th century began research 60 years, some of the technology has been applied in practical engineering, fault diagnosis of equipment in China started relatively late. With the development of information technology, equipment, research and development of diagnostic applications are throughout the world. This makes formal knowledge of professional and technical personnel, technical personnel in general and the help of expert system technology to achieve close to the expert level. In a sense, the maintenance personnel and equipment to improve service and quality our customers and service quality, lower cost.Expert system to assist with the mechanics, service personnel or user fault diagnosis, fault diagnosis can greatly improve the accuracy and efficiency, saving time and labor, significant savings can be achieved remarkable economic and social benefits. The popularization and application of expert system can improve the facilities maintenance industry fault diagnosis accuracy, efficiency and effectiveness of a bright future. Main achieved results following aspects:1,According to the complexity of computer failures, according to the basic principles of computer data structure, use of the fault tree data structures and relational database theory to complete the knowledge that the establishment of a knowledge base necessary to achieve a deterministic fault diagnosis knowledge base and inference engine.2,Computer Fault Diagnosis Expert System Development. The main computer system implements a fault diagnosis module, fault diagnosis module, the user diagnostic database query, print, visit the module, knowledge base maintenance modification module, self-learning module.3,Try to realize the uncertainty based on BP neural network fault diagnosis.
Keywords/Search Tags:expert system, fault diagnosis, fault tree, fault certainty, uncertainty failure
PDF Full Text Request
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