Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning. Abstract: Early diagnosis of gear transmission has been a sig…
The proposed approach performs gearfaultdiagnosisusingpre-processing free raw accelerometer data and experiments with various sizes of training data were conducted. The su…
. Abstract—Early diagnosis of gear transmission has been a significant challenge, because gear faults occur primarily at microstructure or even material level but their effects can only be...
Pre-Processing-Free Gear Fault Diagnosis Using Small Datasets with Deep Convolutional Neural Network-Based Transfer Learning. CC BY-NC-ND 4.0. Authors: Pei Cao. University of Connecti…
Cao P Zhang S Tang J Preprocessing-free gear fault diagnosis using small datasets with deep convolutional neural network-based transfer learning IEEE Access 2018 6 26241 26253 Google …
This paper will focus on developing a convolutionalneuralnetwork (CNN) to learn features directly from frequency data of vibration signals and testing the different performance of feature learning …
Abstract: We develop a novel deeplearning framework to achieve highly accurate machine fault diagnosisusingtransferlearning to enable and accelerate the training of deepneuralnetwork. C…
Deepconvolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gearfaultdiagnosis under data limitations - ScienceDirect. Mechanical …
Cao P, Zhang S, Tang J (2018) Preprocessing-free gear fault diagnosis using small datasets with deep convolutional neural network-based transfer learning. IEEE Access 6: 26241–26253.
Based on the measured gearfault vibration signals and the deeplearning theory, four faultdiagnosisneuralnetwork models including fast Fourier transform–deep belief network model, wa…