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Preliminary Report on Data from CEPSA Tenerife Refinery. Olga Štěpánková, Jiří Kléma, Lenka Lhotská step @labe.felk.cvut.cz. Gerstner laboratory Czech Technical University in Prague http://cyber.felk.cvut.cz. Overview. introduction data & methods results conclusion. Introduction - OPS.
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Preliminary Report on Data from CEPSA Tenerife Refinery Olga Štěpánková, Jiří Kléma, Lenka Lhotská step@labe.felk.cvut.cz Gerstner laboratory Czech Technical University in Prague http://cyber.felk.cvut.cz
Overview • introduction • data & methods • results • conclusion
Introduction - OPS Open Prediction System (ops.certicon.cz) • motivation for development • prediction of gas consumption (TDE, Germany) • classification of events in the heating system (Grundfos, Denmark) • classification of faults in pumps (Rockwell Automation, USA) • classification of heart failures (Vitatron Medical, The Netherlands)
Data & Methods • all data (items 9 - 337) were divided into • training data: items 9 - 249 • testing data: items 250 - 337 • OPS (Open Prediction System) applied • singular value analysis (improved regression based method) • neural networks (backpropagation) - 3 layers • support vector machines using sequential minimal optimization (specialized iterative solver) - linear kernel decomposition
Statistics of the achieved results Testing data = 86 Training data = 243
Conclusion • very preliminary results from SVM are promising • combination of SVM and NN could bring good results recommendations for future improvements - backgroud knowledge involved, e.g. • consideration of time factor (reverse pivoting) • consideration of inertia of the system (integration of some attributes) - sliding window
Contacts Czech Technical University in Prague Gerstner Laboratory Jiří Kléma - klema@labe.felk.cvut.cz Olga Štěpánková - step@labe.felk.cvut.cz Lenka Lhotská - lhotska@fel.cvut.cz