奇异谱分析在土舱压力数据序列处理中的应用

Application of Singular Spectrum Analysis in Processing of Chamber Earth Pressure Data Sequence

根据土压平衡盾构机施工过程中土舱压力监测数据,利用奇异谱分析方法对土舱压力时间序列进行奇异值分解和分组重构处理,并在此基础上利用线性递归关系对其进行数值预测.结果表明奇异谱分析方法能够有效分离出土舱压力时间序列中的主要影响因素,尤其是在微弱周期性成分提取方面效果显著,并能够明显降低土舱压力信号中的噪声干扰作用,提高土舱压力预测的精度和稳定性.将奇异谱分析方法应用于土舱压力序列分析将有助于实现土舱压力的预测性控制.

Based on the observed data of chamber earth pressure from on-site construction of earth pressure balance shield, a time series of chamber earth pressure is created and handled by singular spectrum analysis method, including singular spectrum decomposition and reconstruction, and a subsequent forecasting of the time series is performed based on the linear recurrence relations model. It is turned out that singular spectrum analysis can effectively separate principal components from time series of chamber earth pressure, especially in the extraction of weak periodic components. In addition, it is available for singular spectrum analysis method to reduce noise jamming by filtering out a part of the original time series that is supposed to be noise rather than signal. Consequently, it is reasonable to make the forecasting more accurate and smooth by applying singular spectrum analysis method to the analysis of chamber earth pressure values, which would be helpful to the future predictive control of chamber earth pressure in earth pressure balance shield.