基于RBR和PCA的2.4米风洞故障诊断系统应用研究

Application Research on FDD System Based on RBR and PCA in 2.4 m WT

摘要:

为解决2.4米风洞试验装备的故障监测与诊断(FDD)问题,设计了一种基于规则推理(RBR)和主元分析(PCA)的并行故障诊断系统；对试验流程和因果关系较强的单一装备故障,采用RBR诊断方法；而对控制过程和重要传感器的故障,通过构建PCA模型,根据平方预报误差(SPE)实现系统故障的诊断；运行效果表明:该系统实时性好、诊断结果与实际相符合、且对过程故障具有较强的针对性。

Abstract:

In this work, the parallel Fault Detection and Diagnosis(FDD) system based on Rule-Based Reasoning (RBR) and Principal Component Analysis(PCA) was designed to check the fault of equipments in the 2.4 m Wind Tunnel(WT). The RBR method is used to deal with the single equipment fault which involves experiment processes and on-off state information. And the fault from controlling process and important sensor were checked by Square Prediction Error(SPE) basing on the PCA model. The result shows that the system can deal with the fault in time and has a good consistency with the actual experiments. In addition, it also exhibits a strong pertinence for fault from the process.