基于OpenModelica仿真平台的暖通空调系统故障诊断研究  

HVAC system fault diagnosis method based on OpenModelica

作　　者：朱辉 杨文 庞爱平 ZHU Hui;YANG Wen;PANG Aiping(The Electrical Engineering College,Guizhou University,Guiyang 550025,China;Key Laboratory of Space Launching Site Reliability Technology,Haikou 570100,China)

机构地区：[1]贵州大学电气工程学院,贵阳550025 [2]航天发射场可靠性重点实验室,海口570100

出　　处：《智能计算机与应用》2021年第7期171-176,共6页Intelligent Computer and Applications

摘　　要：针对暖通空调系统(HVAC)故障样本的不充分从而使基于数据驱动的故障诊断方法在暖通空调系统应用较为困难,本文提出一种基于Modelica语言的暖通空调系统故障方法。首先,采用Modelica语言仿真平台OpenModelica建立暖通空调系统的模型,然后对仿真模型以人工注入故障获取故障样本,最后通过PCA故障诊断算法对故障样本进行故障识别找出故障源。仿真结果表明:该方法可以有效且准确地实现暖通空调系统的故障诊断。Aiming at the insufficient fault samples of HVAC system,which makes the application of data-driven fault diagnosis method in HVAC system more difficult,this paper proposes a fault method of HVAC system based on Modelica language.Firstly,the Modelica language simulation platform OpenModelica is used to establish the model of HVAC system,then the simulation model is manually injected to obtain the fault samples,finally the fault samples are identified by PCA fault diagnosis algorithm to find the fault source.The simulation results show that the method can effectively and accurately achieve the fault diagnosis of HVAC system.

关 键 词：暖通空调系统 PCA算法 故障诊断 Modelica建模 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]