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RUL prediction for rolling bearings based on Convolutional Autoencoder and status degradation model., , , , и . Appl. Soft Comput., (2022)A neighborhood parameter optimization method of LLE based on topology preservation., , и . EMEIT, стр. 4231-4234. IEEE, (2011)Self-supervised learning-based dual-classifier domain adaptation model for rolling bearings cross-domain fault diagnosis., , , , , и . Knowl. Based Syst., (2024)New RUL Prediction Method for Rotating Machinery via Data Feature Distribution and Spatial Attention Residual Network., , , , и . IEEE Trans. Instrum. Meas., (2023)Dynamic obstacle-surmounting analysis of a bilateral-wheeled cable-climbing robot for cable-stayed bridges., и . Ind. Robot, 46 (3): 431-443 (2019)Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery., , , , и . Eng. Appl. Artif. Intell., (2023)Enhanced transfer learning method for rolling bearing fault diagnosis based on linear superposition network., , , , и . Eng. Appl. Artif. Intell., (мая 2023)Supervised Laplacian Eigenmaps for Machinery Fault Classification., и . CSIE (7), стр. 116-120. IEEE Computer Society, (2009)Design and Motion Analysis of Adjustable Pneumatic Soft Manipulator for Grasping Objects., и . IEEE Access, (2020)Deep Transfer Learning in Mechanical Intelligent Fault Diagnosis: Application and Challenge., , , , и . Neural Process. Lett., 54 (3): 2509-2531 (2022)