Search results for "inferential model"

showing 2 items of 2 documents

Input Selection Methods for Soft Sensor Design: A Survey

2020

Soft Sensors (SSs) are inferential models used in many industrial fields. They allow for real-time estimation of hard-to-measure variables as a function of available data obtained from online sensors. SSs are generally built using industries historical databases through data-driven approaches. A critical issue in SS design concerns the selection of input variables, among those available in a candidate dataset. In the case of industrial processes, candidate inputs can reach great numbers, making the design computationally demanding and leading to poorly performing models. An input selection procedure is then necessary. Most used input selection approaches for SS design are addressed in this …

0209 industrial biotechnologylcsh:T58.5-58.64lcsh:Information technologyComputer Networks and CommunicationsComputer scienceFeature selectionprediction02 engineering and technologyFunction (mathematics)input selectionSoft sensorcomputer.software_genresoft sensor; inferential model; input selection; feature selection; regression; predictionfeature selection020901 industrial engineering & automationinferential model0202 electrical engineering electronic engineering information engineeringsoft sensorregression020201 artificial intelligence & image processingData miningInput selectioncomputerSelection (genetic algorithm)Future Internet
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Soft Sensor Transferability between Lines of a Sulfur Recovery Unit

2021

Abstract Soft Sensors (SSs) are mathematical models that allow real-time estimation of hard-to-measure variables as a function of easy-to-measure ones in an industrial process, emulating the behavior of existing sensors when they are, for instance, taken off for maintenance. The Sulfur Recovery Unit (SRU) from a refinery is taken in exam. Recurrent Neural Networks (RNN) can capture the nonlinearity of such process but present a high complexity training and a very time-consuming structure optimization. For this reason, strategies to use pre-existing models are here examined by testing the transferability of the SSs between two parallel lines of the process.

Mathematical modelComputer sciencemedia_common.quotation_subjectProcess (computing)transferable soft sensor; nonlinear model; recurrent neural network; monitoring; prediction; inferential modelControl engineeringpredictionSoft sensorParallelRefineryNonlinear systemmonitoringRecurrent neural networkinferential modelControl and Systems Engineeringnonlinear modelrecurrent neural networkFunction (engineering)media_commontransferable soft sensor
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