DocumentCode :
3583472
Title :
Research on air-conditioning fault diagnosis method based on SVM
Author :
Li Yang ; Fang Qiansheng ; Wang Xiaolong ; Zhang Zhenya ; Xie Chenlei
Author_Institution :
Anhui Key Lab. of Intell. Building, Anhui Univ. of Archit., Hefei, China
Volume :
7
fYear :
2010
Firstpage :
3397
Lastpage :
3400
Abstract :
Air-conditioning system is an important component of the building equipment, but also a large energy consumption item of building. The accurate and timely air-conditioning fault diagnosis will guarantee the stable operation of the air-conditioning, which fulfils key functions in construction energy conservation, but now the bottleneck of fault diagnosis technology of air-conditioning is lack of fault samples, therefore, this paper puts forward an air-conditioning fault diagnosis method based on SVM , which can realize the SVM Multi-fault classifier through diagnosis of the typical faults in air conditioning system, it shows that the designed system has good classification accuracy and generalization ability.
Keywords :
air conditioning; energy conservation; fault diagnosis; support vector machines; SVM multi-fault classifier; air-conditioning fault diagnosis; energy conservation; support vector machines; Accuracy; Atmospheric modeling; Buildings; Fault diagnosis; Kernel; Support vector machines; Training; Air-conditioning system; Fault diagnosis; Multi-fault classifier; SVM (support vector machine);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5583693
Filename :
5583693
Link To Document :
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