Fault Diagnosis of Chillers Based on Neural Network and Wavelet Denoising

Chiller fault detection based on neural network is a data-based analysis method. The fault detection efficiency relies on the quality of the training data and the mesasured data.The wavelet transfer method which can remove the measurement nosise is used to improve the detection efficiencies of chil...

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Bibliographic Details

Published in:	Zhileng xuebao
Main Authors:	Shi Shubiao, Chen Huanxin, Li Guannan, Hu Yunpeng, Li Haorong, Hu Wenju
Format:	Article
Language:	Chinese
Published:	Journal of Refrigeration Magazines Agency Co., Ltd. 2016-01-01
Subjects:	chiller fault detection and diagnosis BP neural network wavelet denoising bayesian regularization
Online Access:	http://www.zhilengxuebao.com/thesisDetails#10.3969/j.issn.0253-4339.2016.01.012