摘要
制冷剂泄漏会给多联机带来不良影响,需要对其进行实时且准确的故障诊断.本文基于结构方程原理和试验数据,利用数据预处理提取的特征变量,建立结构方程模型,与决策树模型对比,分析结构方程在选择重要变量上的正确性,并利用重要显变量采用主元分析的方法建立专家变量,代入决策树模型,其在线诊断正确率达到96.96%,相对单独采用决策树模型提高2.81%.
The refrigerant leakage can bring adverse effects on multi-connected air-conditioning(heat pump)unit,so it is necessary to carry out online and accurate fault diagnosis.Based on the principle of structural equation model(SEM)and experimental data,the structural equation model is established by using characteristic variables extracted by data preprocessing.Compared with the decision tree model,the accuracy of structural equation model in selecting important variables is analyzed.And using important observed variables,expert variables are established based on principal component analysis.Substituting it into decision tree model,the online diagnostic accuracy is 96.96%,which is increased by 2.81%compared with only using decision tree model.
作者
肖坤
陈焕新
王誉舟
王汝金
Xiao Kun;Chen Huanxin;Wang Yuzhou;Wang Rujin(School of Energy and Power Engineering,Huazhong University of Science and Technology;Hefei General Machinery Research Institue Co.,Ltd.,State Key Laboratory of Compressor Technology(Anhui Laboratory of Compressor Technology))
出处
《制冷与空调》
2020年第12期74-79,共6页
Refrigeration and Air-Conditioning
基金
国家自然科学基金项目(51876070,51576074)
压缩机技术国家重点实验室(压缩机技术安徽省实验室)开放基金项目(SKL-YSJ201801)。
关键词
多联式空调(热泵)机组
制冷剂泄漏
结构方程
主元分析
决策树
故障诊断
multi-connected air-conditioning(heat pump)unit
refrigerant leakage
structural equation
principal component analysis
decision tree
fault diagnosis
