To address these issues, this paper presents a comprehensive deep convolutional neural network (DCNN) based condition monitoring framework to improve model ...
Mar 20, 2019 · This paper presents a comprehensive condition monitoring framework based on deep convolutional neural network (DCNN) which aims at improving ...
To address these issues, this paper presents a comprehensive deep convolutional neural network (DCNN) based condition monitoring framework to improve model ...
Bibliographic details on Performance Analysis and Enhancement of Deep Convolutional Neural Network - Application to Gearbox Condition Monitoring.
Performance Analysis and Enhancement of Deep Convolutional Neural Network: Application to Gearbox Condition Monitoring · J Wang · Y Ma · Z Huang · R Xue · R Zhao.
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Performance Analysis and Enhancement of Deep Convolutional Neural Network: Application to Gearbox Condition Monitoring. Article. Full-text available. Jun 2019.
... Performance Analysis and Enhancement of Deep Convolutional Neural Network - Application to Gearbox Condition Monitoring ... Condition-Based Maintenance Approach ...
A methodology for gear grinding monitoring, exploiting the power of Deep Learning architectures and 2D representations, is presented in this paper. Vibration ...
Missing: Performance Enhancement Gearbox
Performance Analysis and Enhancement of Deep Convolutional Neural Network: Application to Gearbox Condition Monitoring ... Application to Condition Monitoring.
Aug 31, 2023 · The confusion matrix is obtained by comparing with four other classical convolutional neural networks. T-distributed stochastic neighbor ...