Research On Gearbox Temperature Field Image Fault Diagnosis Method Based On Transfer Learning And Deep Belief Network

This paper introduces a convolutional neural network model for image classification and a deep learning network model for gearbox fault diagnosis combining transfer learning and deep belief network. The deep learning network model consists of three parts: temperature field image expansion, convolutional neural network transfer learning, and deep belief network fault classification. The diagnosis process involves using the VGG16 model to extract features from the image, followed by the training and classification of the DBN network.