Share Email Print
cover

Proceedings Paper

A novel prediction method for back pressure based on fuzzy inference theory
Author(s): Guanghua Chen; Kunting Zhang; Hongyuan Qi; Bingshen Nan
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In order to solve the problem of back pressure set unreasonable in direct air-cooling unit, a back-pressure-fuzzy-inference machine is established in this paper, of which the environmental temperature and wind speed are the inputs, and the optimal back pressure is the output. The feasibility of the novel method is verified by simulation and experimental results, and the accuracy of back pressure fuzzy prediction can satisfy the operating requirements.

Paper Details

Date Published: 23 January 2017
PDF: 8 pages
Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103224D (23 January 2017); doi: 10.1117/12.2265324
Show Author Affiliations
Guanghua Chen, Beijing Jiaotong Univ. (China)
Kunting Zhang, Beijing Jiaotong Univ. (China)
Hongyuan Qi, Beijing Jiaotong Univ. (China)
Bingshen Nan, Beijing Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 10322:
Seventh International Conference on Electronics and Information Engineering
Xiyuan Chen, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray