Litcius/Paper detail

A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery

Xinya Wu, Yan Zhang, Changming Cheng, Zhike Peng

2020Mechanical Systems and Signal Processing257 citationsDOI

Topics & Concepts

AutoencoderSoftmax functionArtificial intelligencePattern recognition (psychology)Computer scienceClassifier (UML)Fault (geology)Machine learningArtificial neural networkSeismologyGeologyMachine Fault Diagnosis TechniquesEngineering Diagnostics and ReliabilityFault Detection and Control Systems
A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery | Litcius