摘要
变形数据分析与预报是大坝变形监测数据处理的重要内容。本文基于时间序列分析理论,提出以AR模型对平稳可逆的随机时间序列建模的新方法。结合大坝沉降监测的具体实例应用AR模型进行预报。结果表明,应用AR模型预报大坝变形具有模型形式简单、预测精度高等优点。
The analysis and forecast of deformation data are major contents in the processing of dam deformation monitoring data. The paper presents the centralized AR model for stationary stochastic time series based on time series analysis theory. By AR model forecasts dam displacement monitoring, the result shows that AR model is simple and forecast accuracy is high.
出处
《煤炭技术》
CAS
北大核心
2009年第3期124-126,共3页
Coal Technology
