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Multiscale Swin Transformer method for PCB Surface Defect Detection
8th International Conference on Condition Monitoring in Non-Stationary operations
Han Shuaishuai
Wenzhou University
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Multi-attention Semi-Cycled GAN for Rotating Machinery Fault Diagnosis Under Speed Fluctuation
8th International Conference on Condition Monitoring in Non-Stationary operations
Chen Zhenlong
Wenzhou University
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MTA-ACGAN: A Novel generative adversarial network for Aero Engine Bearing Fault Diagnosis
8th International Conference on Condition Monitoring in Non-Stationary operations
Yang Chuqi
Wenzhou University
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MF-DGCN: Wind Turbine Anomaly Identification by Using Deep Graph Convolutional Networks with Matrices Fusion Strategy
8th International Conference on Condition Monitoring in Non-Stationary operations
Wang Xiaomin
Wenzhou University
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Advanced Framework for Intelligent Fault Diagnosis in Rotary Machinery with Out-of-Distribution Recognition
8th International Conference on Condition Monitoring in Non-Stationary operations
Chen Xiaochi
Central South University
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MSPNet-based small sample learning method for infrared images and its application to fault diagnosis of rotating machinery under multiple operating conditions
8th International Conference on Condition Monitoring in Non-Stationary operations
Ge Jian
温州大学
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A parameter-interactive digital twin model of bearings under variable speeds
8th International Conference on Condition Monitoring in Non-Stationary operations
Song Wenchang
Southwest Jiaotong Univercity
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A Machine-Learning Approach for the Rotating Machine Condition Identification, Faults Diagnosis, and their Localization
8th International Conference on Condition Monitoring in Non-Stationary operations
Sinha Jyoti
The University of Manchester;
Almutairi Khalid
The University of Manchester
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Bearing Defect Degradation Assessment Using Dynamic Model and Domain Adaptation Approach
8th International Conference on Condition Monitoring in Non-Stationary operations
Xu Simeng
College of Energy, Xiamen University
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A novel Fourier Series-Convolutional neural network hybrid approach for the crack identification of a flexible beam
8th International Conference on Condition Monitoring in Non-Stationary operations
Zhao Kaiwen
Harbin Engineering University
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