Demagnetization Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Counter-Electromotive Force Data analysis using Improved CNN-LSTM-SE Model
8th International Conference on Condition Monitoring in Non-Stationary operations
Ouyang Yuze East China Jiaotong University
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Multi-performance index reinforcement learning training of beaver imitation robot
8th International Conference on Condition Monitoring in Non-Stationary operations
Chen Gang Zhejiang Sci-Tech University
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Variational Mode Feature Construction-based Improved Kernel Extreme Learning Machine for Rotating Machinery Intelligent Diagnosis
8th International Conference on Condition Monitoring in Non-Stationary operations
Li Quanchang Southwest Petroleum University
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Bearing defect localization based on twice arrival of Lamb wave on single AE sensor
8th International Conference on Condition Monitoring in Non-Stationary operations
lu ping Kunming University of Science and Technology
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Optimal opportunistic group maintenance policy for serial systems under quality and energy consumption constraints
8th International Conference on Condition Monitoring in Non-Stationary operations
Chen Aojun Wenzhou University
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IAS-Based Fault Detection for Planet and Cycloidal Gears in RV Reducers
8th International Conference on Condition Monitoring in Non-Stationary operations
fan jiawei Kunming University of Science and Technology
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A Bearing Fault Diagnosis Method Based on Sparse Representation of the Sub-band Component
8th International Conference on Condition Monitoring in Non-Stationary operations
Yan Jingjing Beijing University of Chemical Technology
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A deep LSTM method for gearboxes fault detection under varying speed conditions
8th International Conference on Condition Monitoring in Non-Stationary operations
Liu Xuemei Tongji University
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A Dynamic Multi-Wavelet Kernel Aggregation Factorized Bilinear Fusion Framework for Multimodal Machinery RUL Prediction
8th International Conference on Condition Monitoring in Non-Stationary operations
Wang Yuan Key Laboratory of Education Ministry for Modern Design & Rotor-Bearing System, Xi’an Jiaotong University, Xi’an 710049, China
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An Improved Method for Detecting Faults in Special Equipment Based on YOLOv8 and Swin Transformer
8th International Conference on Condition Monitoring in Non-Stationary operations
Li Yunlong Beijing Materials Handling Research Institute CO.,Department of Industrial Engineering, Tsinghua University
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