ALANDA for configuration-free analysis of process data

For the long-term storage of measured data from production processes, process information management systems (PIMS) have been established in the last years. The use of these measurement data offers optimization potential if the relevant process information can be extracted. This contribution gives an overview of the innovative algorithms the software platform ALANDA provides for online and offline analysis of process data. On the basis of configuration-free algorithms, the effort for data analysis and model building can be reduced significantly. An introduction to the methods for PIMS configuration, basic preprocessing, and trend detection is given. These methods, which are predominantly based on wavelet analysis are used for the identification of a soft sensor in an industrial application. Finally, we present a tutorial demonstration of ALANDA in terms of a trend detection in a separation process.