基于定性仿真理论的故障检测与诊断

Fault Detection and Diagnosis Based on Qualitative Simulation

工程技术系统的复杂性引发一系列的系统问题,这无疑是当代控制工程领域的重要挑战.为了应对这类挑战,出现了一系列系统故障的检测和诊断的技术,其中定性仿真技术便是其中的重要技术之一.通过定性仿真理论QSIM(qualitative simulation)相关原理的分析和对该技术在故障检测领域操作中的流程的研究、分析,总结发现该技术在FDD领域中的优势和劣势,针对其存在的不足,引入模糊集理论和相似性原理等对其进行弥补,从理论上完善该模型,并对检测与诊断研究形成有效指导.

Engineering technology in modern society is playing an increasingly important role.Whether in improving people＇s living or level of civil industry,or in related national military strength field,a secure and stable system is crucial.However,the complexity of the system at the same time spawned a series of system problems,which is undoubtedly a challenge in the contemporary control engineering.In order to cope with this challenge,there has appeared a series of fault detection and diagnosis technology,of which the qualitative simulation technology is one of the most important.Based on the theory of qualitative simulation（QSIM） analysis of the principle and the technology in fault detection process research,analysis,and a summary of this technology in the FDD field strengths and weaknesses,for its deficiency,we introduce fuzzy set theory and similarity principle to compensate for to form a theory to improve the model.