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Received:April 28, 2010 Revised:July 10, 2010
Received:April 28, 2010 Revised:July 10, 2010
中文摘要: 无人机是一个结构复杂的机电一体化系统，为了满足故障诊断的需求，以模糊数学理论为基础，并将案例推理融合到模糊推理机中。重点论述如何确定模糊关系矩阵和案例式推理的原理，详细介绍了案例匹配流程，提出了一种新的模糊推理机制，并最终设计实现系统功能，提高了无人机故障诊断效率、准确度、可靠性。
Abstract:UAV is a complex mechatronic system, in order to meet the needs of fault diagnosis, based on the theory of fuzzy mathematics, and integrate case-based reasoning into fuzzy inference machine. This paper focuses on how to determine the fuzzy relationship matrix and the principle of case-based reasoning, described in details of the case matching process, put over a new fuzzy inference mechanism, ultimately, design and implementation of system functions. It is shown from application results that this method improve the diagnostic process efficiency, accuracy and reliability.
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季文韬,陈汶滨,张平.基于案例模糊的无人机故障诊断系统.计算机系统应用,2011,20(1):32-35
JI Wen-Tao,CHEN Wen-Bin,ZHANG Ping.Case-Based Fuzzy Fault Diagnosis System for UAV.COMPUTER SYSTEMS APPLICATIONS,2011,20(1):32-35
季文韬,陈汶滨,张平.基于案例模糊的无人机故障诊断系统.计算机系统应用,2011,20(1):32-35
JI Wen-Tao,CHEN Wen-Bin,ZHANG Ping.Case-Based Fuzzy Fault Diagnosis System for UAV.COMPUTER SYSTEMS APPLICATIONS,2011,20(1):32-35
