Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Boiler Technology》 2000-11
Add to Favorite Get Latest Update

Artificial Neural Networks Based Pollution Location Diagnosis for Heating Surfaces of Utility Boilers

Wang Guangjun, Luan Xiuchun  
The paper proposes a new method of utility boiler pollution location diagnosis on the basis of artificial neural networks, which sets up a neural networks based diagnosis model for pollution location, using the gas temperature of different heating surfaces exits as feature parameter. It is indicated that this model can effectively diagnose the pollution location of heating surfaces of utility boilers by results of simulating test.
【CateGory Index】: TK39
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved