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CE-FFGAN: A feature fusion generative adversarial network with deep embedded category information for limited sample fault diagnosis of rotating machinery under speed variation

Chen Yang, Hongkun Li, Shunxin Cao, Kongliang Zhang, Wei Xiang, Xuejun Liu

2024Advanced Engineering Informatics27 citationsDOI

Topics & Concepts

Variation (astronomy)Artificial intelligenceFault (geology)Feature (linguistics)Sample (material)Generative adversarial networkInformation fusionPattern recognition (psychology)Generative grammarComputer scienceAdversarial systemFusionData miningDeep learningGeologyChromatographyLinguisticsChemistryAstrophysicsSeismologyPhilosophyPhysicsMachine Fault Diagnosis TechniquesAnomaly Detection Techniques and ApplicationsMineral Processing and Grinding
CE-FFGAN: A feature fusion generative adversarial network with deep embedded category information for limited sample fault diagnosis of rotating machinery under speed variation | Litcius