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This book deals with the development, application and validation of
techniques for data analysis in view of supervisory control of
cyclic systems, including and integrating aspects of monitoring,
diagnosis and control. Two so far largely separated tools for data
mining of process data are used as a basis for the presented
developments. These are Principal Component Analysis (PCA) and
Qualitative Representation of Trends (QRT). A pilot-scale
sequencing batch reactor (SBR) for wastewater treatment is used as
a case study for the major parts of the work presented. Another
application is pursued regarding the analysis of flow measurement
time series derived from an urban drinking water network.
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