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Residual attention convolutional autoencoder for feature learning and fault detection in nonlinear industrial processes

Xing Liu, Jianbo Yu, Lyujiangnan Ye

2021Neural Computing and Applications29 citationsDOI

Topics & Concepts

AutoencoderComputer scienceResidualArtificial intelligenceFault detection and isolationFeature extractionDeep learningPattern recognition (psychology)Feature learningBenchmark (surveying)Convolutional neural networkFeature (linguistics)Convolution (computer science)Fault (geology)Process (computing)Machine learningArtificial neural networkAlgorithmOperating systemPhilosophyLinguisticsGeodesyGeologyGeographySeismologyActuatorFault Detection and Control SystemsMineral Processing and GrindingSpectroscopy and Chemometric Analyses
Residual attention convolutional autoencoder for feature learning and fault detection in nonlinear industrial processes | Litcius