By Topic

A Real Time Multi-Scale Correlation Analysis Method and its Application on the Data Mining in Thermodynamic Process

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wang Qi ; Sch. of Control & Comput. Eng., North China Electr. Power Univ., Baoding, China ; Liu Xin-Ping

There is a complicated mapping between the state and measurement signal in the complex thermodynamic system, direct mechanism analysis is very difficult. Using wavelet analysis idea for reference, simple filter bank was designed to decompose the signal by frequency domain. The correlation feature of signals in different frequency scale can be discovered. Using such method to analyze furnace pressure signal of boiler in thermal power plant, the positive correlation between the low-frequency component of furnace pressure signal and the medium-frequency component of fuel was revealed, and the negative correlation between the high-frequency component variance of furnace pressure signal and the low-frequency component of fuel was discovered. Through further mechanism analysis the conclusion is that: the furnace pressure can reflect the change of the furnace temperature in medium-frequency, the intensification of the furnace pressure and furnace temperature fluctuation in boiler under low load condition is cased by the nonlinearity of object itself.

Published in:

Computational Intelligence and Security (CIS), 2011 Seventh International Conference on

Date of Conference:

3-4 Dec. 2011