Multivariate Information Dynamic Monitoring System Application of Tunnel Construction Process Model Test
نویسندگان
چکیده
منابع مشابه
Investigation of Dynamic Multivariate Process Monitoring
Chemical process variables are always driven by random noise and disturbances. The closed-loop control yields process measurements that are auto & cross correlated. The influence of auto & cross correlations on statistical process control (SPC) is investigated in detail. It is revealed both auto and cross correlations among the variables will cause unexpected false alarms. Dynamic PCA and ARMA-...
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Multiscale Principal Component Analysis (MSPCA) combines the ability of PCA to decorrelate the variables by extracting a linear relationship, with that of wavelet analysis to extract deterministic features and approximately decorrelate autocorrelated measurements. MSPCA computes the PCA of the wavelet coefficients at each scale, followed by combining the results at relevant scales. Due to its m...
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ژورنال
عنوان ژورنال: Archives of Civil Engineering
سال: 2016
ISSN: 1230-2945
DOI: 10.1515/ace-2015-0087