Physical Sciences → Engineering → Control and Systems Engineering
Fault Detection and Control Systems
This cluster of papers focuses on the application of various data-driven and statistical techniques for process fault detection and diagnosis in industrial settings. It covers topics such as process monitoring, fault isolation, soft sensors, model-based diagnosis, and the use of machine learning in analyzing and improving industrial processes.
144K works worldwide1.5M citations
Process MonitoringFault DetectionData-Driven TechniquesStatistical AnalysisSoft SensorsModel-Based DiagnosisIndustrial ProcessesMultivariate Statistical MethodsFault IsolationMachine Learning

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