Overview of PCA-Based Statistical Process-Monitoring Methods for Time-Dependent, High-Dimensional Data
نویسندگان
چکیده
QUALITY CONTROL CHARTS are a widely used tool, developed in the field of statistical process monitoring (SPM) to identify when a system is deviating from typical behavior. High-dimensional, timedependent data frequently arise in applications ranging from health care, industry, and IT to the economy. These data features challenge many canonical SPM methods, which lose precision as the dimensionality of the process grows, or are not wellsuited for monitoring processes with a high degree of correlation between variables. In this paper, we present an overview of foundational principalcomponent analysis-based techniques currently avail-
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A review of PCA-based statistical process monitoring methods for time-dependent, high-dimensional data
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