Process monitoring and fault diagnosis using random forests by Auret, Lidia

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On-line fault detection and end-of-batch quality prediction for batch processes incorporating on-line synchronisation and phase identification by Myburgh, Travis Louis

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Evaluation of statistical analyses for the identification of surrogates and indicators using historical plant data from a water reclamation plant by Coomans, Cornelius Johannes

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Process monitoring with economic performance functions : feasibility assessment for milling circuits by Siwella, Mollin

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Fault detection, identification and economic impact assessment for a pressure leaching process by Strydom, Johannes Jacobus

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Pellet-size estimation of a ferrochrome pelletizer circuit using Computer Vision techniques by Rabie, Johannes Kasselman

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Froth texture extraction with deep learning by Horn, Zander Christo

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Mechanisms and kinetics of atmospheric sphalerite oxidative and non-oxidative leaching by Henning, Adriaan Johannes

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Monitoring, modelling and simulation of spiral concentrators by Nienaber, Ernst Carel

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Applying dynamic Bayesian Networks to process monitoring by Wakefield, Brandon Jason

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Improving the performance of causality analysis techniques for automated fault diagnosis in mineral processing plants by Lindner, Brian Siegfried

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Adaptive process monitoring using principal component analysis and Gaussian Mixture Models by Addo, Prince

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Automating the initialisation of relay autotuning using control performance monitoring by Albertus, Grant John

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Image texture analysis for inferential sensing in the process industries by Kistner, Melissa

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The use of classification methods for gross error detection in process data by Gerber, Egardt

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Exploiting process topology for optimal process monitoring by Lindner, Brian Siegfried

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Control performance assessment for a high pressure leaching process by means of fault database creation and simulation by Miskin, Jason John

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