CHAOS-CHARACTERISTIC ANALYSIS OF SEWAGE INWARD-FLOW QUANTITY DATA BASED ON THE MAXIMAL LYAPUNOV INDEX ANALYSIS AND THE METHODS OF SUBSTITUTION
This article conducts the research in view of the chaos characteristic of inward flow quantity data in Sewage Treatment Plant During the research, we put to use small sampling time: τs = 1 h, to avoid losing some partial information in the primary signal. First, we calculate the Lyapunovs maximal index to determine the chaos characteristics of time sequence based on the phase space restructuring foundation. Then there will be the CRP analysis to the sewage time series. At last, by using the substitution data law, we can eliminate the possibility that time series is quasi periodic, and we can get the conclusion that the time series of contaminated water volume is deterministic system produced by nonlinear dynamics.
Chaos Time sequence Lyapunovs mazimal indez Substitution data analysis
JUN-XIA CHEN
College of Economics and Management, Hebei University of Science and Technology, Shijiazhuang 050018, China
国际会议
2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)
保定
英文
2574-2577
2009-07-12（万方平台首次上网日期，不代表论文的发表时间）