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Research and design of wireless communication equipment fault diagnosis expert system

Author: LiZhengGuang
Tutor: QinKaiYu
School: University of Electronic Science and Technology
Course: Measuring Technology and Instruments
Keywords: Automatic test Fault Diagnosis Expert system BP neural network Matlab simulation
CLC: TP182
Type: Master's thesis
Year: 2008
Downloads: 210
Quote: 2
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Abstract


Wireless communication equipment fault diagnosis long-term normal operation of the communication system of social production and life, and even national defense and security are of great significance. Today, the fault diagnosis technology continued to deepen, artificial intelligence with its many advantages is introduced into the fault diagnosis, expert systems, neural networks, and neural network expert system has received wide attention and application in practice has been improved gradually. In this paper, the development of wireless communication devices integrated test system, focusing on fault diagnosis program were discussed and analyzed. Describes the basic principles of fault diagnosis expert system and neural network technology were studied and analyzed the BP neural network and its design method. Based on the study of the expert system, combined with the failure characteristics of wireless communication devices, designed and implemented a rule-based fuzzy inference wireless communication equipment fault diagnosis program, some of the specific content: fuzzy inference system architecture, knowledge base and database design, reasoning machine implementation, and knowledge base maintenance and management. Among them, the knowledge base and inference engine as the core part of the system design, were studied in detail in the text. Although the rule-based fuzzy inference developed a lot more successful system, but insufficient exist in knowledge acquisition Lenovo limited to the development of wireless communication equipment fault diagnosis, and happens to be the neural network of the Therefore, the neural network and traditional expert system are combined to become one of the main research direction of Intelligent Fault Diagnosis. Traditional rule-based expert system, and further study of the neural network expert system. By detailed comparison of expert systems and neural networks, both specific combination and structural characteristics, followed by the actual needs of the departure from the project, the structure of the wireless communication equipment neural network fault diagnosis expert system, with an emphasis on the structure Some features and implementation methods, in the whole system, knowledge base and inference explanation is still the most critical part in the development of the system design. Finally, the a transmitter fault diagnosis, BP diagnose network design of the diagnostic system using Matlab neural network toolbox for network simulation test results show that the neural network can effectively identify failure modes. Finally, in the subsequent development of the project the BP network design - such as the selection of parameters of the hidden nodes, learning function - suggested.

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory > Expert systems, knowledge engineering
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