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Content Provider | IEEE Xplore Digital Library |
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Author | Tong Liu Yuelei Wang Peng Cai |
Copyright Year | 2008 |
Description | Author affiliation: Dept. of Thermal & Power Eng., North China Electr. Power Univ., Baoding (Tong Liu; Yuelei Wang; Peng Cai) |
Abstract | Superheater is one of the most important parts in boiler and it is significant to monitor its tube wall temperature to avoid over-temperature and explosion. In this paper, the traditional calculation method of superheater tube wall temperature is firstly analysed, and then a new calculation method which is based on resilient back propagation (RPROP) network is proposed. From the result we can see that the error of the calculation which is based on RPROP is very small, so the problem that it is hard to monitor tube wall temperature of superheater is solved. |
Starting Page | 589 |
Ending Page | 593 |
File Size | 318387 |
Page Count | 5 |
File Format | |
ISBN | 9780769533049 |
DOI | 10.1109/ICNC.2008.294 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-10-18 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Power engineering Thermal engineering RPROP neural network Artificial neural networks Boilers tube wall temperature Temperature measurement Temperature sensors Furnaces superheater Thermal conductivity Thermal loading Heat transfer |
Content Type | Text |
Resource Type | Article |
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