摘要
针对冶金、锻造过程中,针对提取平均能耗的周期性、平稳性等信息,提出了平稳化自回归算法。该算法主要利用随机信号处理的方法对采集数据的规律性信息进行提取。实践数据应用结果表明,算法可有效提取生产中的规律性信息,并且残差较小。
During the metallurgy and forging process,to get the period and stationarity information of the average energy consumption,the stabilize autoregressive algorithm is presents.This algorithm adopts random signal processing method to extract the regularity of collection data.The application results of the practical data show that the algorithm is effective.
出处
《电脑编程技巧与维护》
2012年第22期22-23,30,共3页
Computer Programming Skills & Maintenance
关键词
时间序列
周期性
平稳性
自回归
Time Series
Period
Stationarity
Autoregressive
