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Deep Learning Data-Driven Thresholding Models Incorporating Box-Cox Transforms
2025 International Conference on Equipment Intelligent Operation and Maintenance
胡 婧怡
哈尔滨工程大学
暂无会场信息
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口头报告
Crane Gearbox Fault Diagnosis Method Based on RepLKNet-BiGRU
2025 International Conference on Equipment Intelligent Operation and Maintenance
Li Yunlong
Beijing Materials Handling Research Institute CO.,Department of Industrial Engineering, Tsinghua University
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A Intelligent Fault Diagnosis Method for Rotating Machinery Using Mode Spectral Array Map
2025 International Conference on Equipment Intelligent Operation and Maintenance
Zhou Yuanyuan
Anhui University of Science and Technology
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A Predictive Calibration Framework Based on the Degradation Model of Sensor Error
2025 International Conference on Equipment Intelligent Operation and Maintenance
Shangguan Yiyang
Beihang university
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Dynamic characterization of complex spalling scenarios of bearing outer ring
2025 International Conference on Equipment Intelligent Operation and Maintenance
于 祥乐
苏州大学
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An aviation bearing quality monitoring method based on an improved statistical parameter calculation theory
2025 International Conference on Equipment Intelligent Operation and Maintenance
Shi Zhifeng
Lanzhou University of Technology
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A condition-based maintenance logical decision-making method considering the consequences of failures
2025 International Conference on Equipment Intelligent Operation and Maintenance
Wang Zhiyang
Harbin Engineering University
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A Working Condition-Embedded Sample Augmentation Method for Intelligent Fault Diagnosis of Train Gearboxes
2025 International Conference on Equipment Intelligent Operation and Maintenance
Shen Zelin
Beijing Jiaotong University
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Numerical Simulation and Experimental Verification on the Fretting Wear Behavior of Tungsten Carbide Coatings on Titanium Alloy
2025 International Conference on Equipment Intelligent Operation and Maintenance
Dai Qingwen
Nanjing University of Aeronautics and Astronautics
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Application of Deconvolution Method for Extracting Sub-Gaussian Components Based on Minimize Residual Strategy under Low SNR
2025 International Conference on Equipment Intelligent Operation and Maintenance
Lin Qijin
Tsinghua University
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口头报告
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