摘要
将数学建模和可视化技术相互融合,将飞机部件间的逻辑关系量化并通过可视化的方式表达,建立基于特定机型的飞机故障推理系统,对飞机维修排故前期具有一定指导意义。首先介绍了Petri网的相关理论,着重阐述了模糊Petri网理论及其应用领域,提出把模糊Petri网理论应用于故障推理系统;在模糊Petri网理论的基础上实现基于模糊Petri网可视化建模飞机故障推理系统,实现在人机交互界面的模糊Petri网的可视化建模,并采用矩阵推理算法对建立的模糊Petri网模型进行故障推理。最后以飞机维修故障实例对该系统进行验证。
In actual research and industry, aircraft-dependent diagnosis system is often developed by mathematical modeling and data visualization technologies, which quantitatively and visually describe the correlations between components of the aircraft. Apparently, this system is significant for both faults diagnosis and aircraft maintenance. This paper presents a brief introduction of Petri Nets （PN） theory. Then fuzzy Petri Nets （FPN） and its applications in state-of-the-art studies are given in detail. Next, a visual modeling and aircraft diagnosis system is proposed based on FPN theory. Specifically, we learned the fuzzy PN model via human-computer interaction interface. Faults diagnosis was then conducted by analyzing the learned model using matrix reasoning algorithm. Finally, the proposed system for aircraft faults diagnosis was validated in real datasets of aircraft.
出处
《装备制造技术》
2015年第8期114-117,共4页
Equipment Manufacturing Technology
