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。
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.
出处
《计算机系统应用》
2011年第1期32-35,共4页
Computer Systems & Applications
关键词
模糊推理
案例式推理
模糊关系矩阵
fuzzy reasoning
case-based reasoning
fuzzy relationship matrix
