Abstract:Data based models are frequently and successfully used to monitor the operation state and detect faults in industrial plants. Deriving these models from data, however, can be quite difficult and unreliable, especially if data from actual operation have to be used, as the resulting optimization problem often becomes ill conditioned: available data may not contain sufficient information, in particular for continuous production systems which are often run for longer times under almost constant operating condition… Show more
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