Title :
Research on Method for Compressing Historical Data Based on Wavelet Networks
Author :
Jiang, Peng ; Huang, Qingbo
Author_Institution :
Inst. of Inf. & Control, Hangzhou Dianzi Univ.
Abstract :
A compression algorithm based on wavelet networks for historical data in process control system is developed in this paper. The implementation and computation process of the algorithm are described in detail. The simulation results show that the algorithm has the advantage of high convergence rate and compression ratio once applied to the compression and decompression process of pressure signals from a paper mill. We draw the conclusion that it is feasible to apply wavelet networks to signal processing in process control system
Keywords :
data compression; neural nets; paper mills; process control; wavelet transforms; historical data compression; paper mill; pressure signal compression; process control system; signal processing; wavelet networks; Control systems; Data compression; Databases; Neural networks; Process control; Signal analysis; Signal processing; Signal processing algorithms; Signal sampling; Wavelet analysis;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.295334
