... only for specific AM process technologies. There is a potential to exploit the inherent similarities across various AM technologies and adapt the existing solutions from one process or problem to another using AI, such as transfer learning (TL). We propose a three-step knowledge transferability...

.... In this way, an FS-AdaBoost-RegNet model based on transfer learning is constructed to enhance the detection accuracy in industrial environment. Finally, the images of the wave soldering from an electronic assembly workshop are taken to validate the performance of the proposed method. The experiment on 941...

... maintenance. In this paper, a multi-label transfer learning approach is proposed using 14 different pretrained convolutional neural networks retrained with engine simulation data to predict the failure conditions of a selected set of engine components. The retrained classifier networks are designed...

...: phd1901103007@iiti.ac.in Email: amiglani@iiti.ac.in 1 Corresponding author. Email: pkankar@iiti.ac.in 04 12 2022 20 04 2023 23 04 2023 09 05 2023 centrifugal pump blockage fuzzy recurrence plot transfer learning shallow learning classifier artificial intelligence...

...Fei Shen; Reza Langari; Ruqiang Yan Unknown environmental noise and varying operation conditions negatively affect gear fault diagnosis (GFD) performance. In this paper, the sample/feature hybrid transfer learning (TL) strategies are adopted for GFD under varying working conditions, where source...