Litcius/Paper detail

High-fidelity positive-unlabeled deep learning for semi-supervised fault detection of chemical processes

Shaodong Zheng, Jinsong Zhao

2022Process Safety and Environmental Protection18 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceFault detection and isolationMachine learningRobustness (evolution)Classifier (UML)Convolutional neural networkBenchmark (surveying)Deep learningProcess (computing)Data miningHigh fidelityPattern recognition (psychology)EngineeringElectrical engineeringGeographyGeneGeodesyOperating systemChemistryBiochemistryActuatorFault Detection and Control SystemsMineral Processing and GrindingOil and Gas Production Techniques
High-fidelity positive-unlabeled deep learning for semi-supervised fault detection of chemical processes | Litcius