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Artículo
Fusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals
(Elsevier, 2021)
Collecting data from mechanical systems in abnormal conditions is expensive and time consuming. Consequently, fault detection approaches based on classical supervised learning working with both normal and abnormal data ...
Artículo
From fault detection to one-class severity discrimination of 3D printers with one-class support vector machine
(Elsevier, 2021)
The lack of faulty condition data reduces the feasibility of supervised learning for fault detection or fault severity discrimination in new manufacturing technologies. To deal with this issue, one-class learning arises ...