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ACDIN: Bridging the gap between artificial and real bearing damages for bearing fault diagnosis.

, , , , , and . Neurocomputing, (2018)

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Development of an Integrated Laser Sensors Based Measurement System for Large-Scale Components Automated Assembly Application., , and . IEEE Access, (2018)Prediction-Based Human-Robot Collaboration in Assembly Tasks Using a Learning from Demonstration Model., , , , , and . Sensors, 22 (11): 4279 (2022)A Two-Stage, Intelligent Bearing-Fault-Diagnosis Method Using Order-Tracking and a One-Dimensional Convolutional Neural Network with Variable Speeds., , , , , and . Sensors, 21 (3): 675 (2021)An innovative reconfigurable mobile robot with multi-maneuver modes., , , , and . ROBIO, page 1659-1664. IEEE, (2008)Intelligent setup planning in manufacturing by fuzzy set theory based approach., , and . CASE, page 130-135. IEEE, (2005)Modeling and Analysis of the Concurrent Design Process., , and . CSCWD, page 44-47. IEEE, (2006)A convolutional neural network based on a capsule network with strong generalization for bearing fault diagnosis., , , and . Neurocomputing, (2019)An Internet-Enabled Setup Planning System., and . ICITA (2), page 89-92. IEEE Computer Society, (2005)A Lightweight SHM Framework Based on Adaptive Multisensor Fusion Network and Multigeneration Knowledge Distillation., , , , , and . IEEE Trans. Instrum. Meas., (2022)A Novel Modular Fixture Design and Assembly System Based on VR., and . IROS, page 2650-2655. IEEE, (2006)