Research on the Algorithm of Avionic Device Fault Diagnosis Based on Fuzzy Expert System

LI Jie; SHEN Shi-tuan

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Research on the Algorithm of Avionic Device Fault Diagnosis Based on Fuzzy Expert System

机译：基于模糊专家系统的航电设备故障诊断算法研究

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摘要

Based on the fuzzy expert system fault diagnosis theory, the knowledge base architecture and inference engine algorithm are put forward for avionic device fault diagnosis. The knowledge base is constructed by fault query network, of which the basic element is the test-diagnosis fault unit. Every underlying fault cause's membership degree is calculated using fuzzy product inference algorithm, and the fault answer best selection algorithm is developed, to which the deep knowledge is applied. Using some examples, the proposed algorithm is analyzed for its capability of synthesis diagnosis and its improvement compared to greater membership degree first principle.

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来源
《Chinese Journal of Aeronautics》 |2007年第3期|223-229|共7页
作者
LI Jie; SHEN Shi-tuan;
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作者单位

School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;

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原文格式 PDF
正文语种英语
中图分类航空;
关键词
fuzzy expert system; fault query network; fault answer best selection algorithm; fuzzy theory; test-diagnosis fault unit;

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Research on the Algorithm of Avionic Device Fault Diagnosis Based on Fuzzy Expert System

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