湖南大学学报（自然科学版）2016，Vol.43Issue(9)：151-156,6.
基于 Kriging模型的冷水机组故障检测与诊断方法
A Fault Detection and Diagnosis Method Based on Kriging Model for Chillers
摘要
Abstract
The Kriging model was introduced to detect and diagnose the faults in the chillers of building air-conditioning systems.This model was built and validated by using the normal data from ASHRAE RP-1043.The methods of T-statistic and exponentially-weighted moving average (EWMA)were compared by the sensitivity of performance indexes.The results show that the EWMA can achieve better performance sensitivity.Combined with the EWMA,Kriging model and the rules of fault diagnosis,the chiller faults like condenser fouling,refrigerant overcharge,refrigerant leakage,non-condenser gas,reduced evaporator water flow rate,and reduced condenser water flow rate were diagnosed using the measured data from ASHRAE RP-1043.The diagnosis results show that the chiller faults at different levels can be accurately and efficiently detected and diagnosed by using the Kriging model.关键词
Kriging模型/冷水机组/故障检测/故障诊断Key words
Kriging model/chillers/fault detection/fault diagnosis分类
建筑与水利引用本文复制引用
陈友明,姜长亮,陈霆英俊..基于 Kriging模型的冷水机组故障检测与诊断方法[J].湖南大学学报（自然科学版）,2016,43(9):151-156,6.基金项目
湖南省科技计划重点资助项目（2010WK4018）；太古地产建筑智能控制研究基金项目 （）
