Research on Heat Pump Fault Diagnosis Based on Fuzzy Neural Networks

摘要：

A set of thermal parameters is selected and measured to form the characteristic vector that represents the malfunction state of heat pump air conditioning system. Combined fuzzy theory with neural network, constructs the fuzzy neural network(FNN).The structure and algorithm of the FNN are described concretely.Several typical faults in heat pump air conditioning system are analyzed with the method.The results show that the performance of the FNN has better analyzing effects than conventional methods.This method, which is checked through theory and practice,provides a means for intelligent fault diagnosis of heat pump air conditioning system.

作者: Wang Z Y Gu B

作者单位: School of Civil Engineering and Architecture,Zhejiang Sei-Tech University,Hangzhou 310018,P.R.China Institute of Refrigeration and Cryogenics,Shanghai Jiao Tong University,Shanghai 200030,P.R.China

会议类型: 国际会议

会议名称: ICCR 2008 第四届国际低温与制冷工程大会

会议地点: 上海

会议语种:英文

页码: 406-410

在线出版日期: 2008-04-05（万方平台首次上网日期，不代表论文的发表时间）