Oversampling adversarial network for class-imbalanced fault diagnosis

Masoumeh Zareapoor; Pourya Shamsolmoali; Jie Yang

doi:10.1016/j.ymssp.2020.107175

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Oversampling adversarial network for class-imbalanced fault diagnosis

Masoumeh Zareapoor Pourya Shamsolmoali Jie Yang

Year: 2020 Journal: Mechanical Systems and Signal Processing Vol: 149 Pages: 107175-107175 Publisher: Elsevier BV

DOI: 10.1016/j.ymssp.2020.107175

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Keywords:

Discriminator Overfitting Computer science Oversampling Artificial intelligence Resampling Fault (geology) Pattern recognition (psychology) Machine learning Outlier Data mining Fault detection and isolation Generator (circuit theory) Feature (linguistics) Artificial neural network Detector

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Topics

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Oversampling adversarial network for class-imbalanced fault diagnosis

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Citation History

Topics

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