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A domain adaptation method for bearing fault diagnosis using multiple incomplete source data.

, , , , , and . J. Intell. Manuf., 35 (2): 777-791 (February 2024)

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Adaptive multispace adjustable sparse filtering: A sparse feature learning method for intelligent fault diagnosis of rotating machinery., , , , , and . Eng. Appl. Artif. Intell., (April 2023)A bearing fault diagnosis method without fault data in new working condition combined dynamic model with deep learning., , , , , and . Adv. Eng. Informatics, (2022)Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions., , , , , and . Knowl. Based Syst., (2022)A High Generalizable Feature Extraction Method Using Ensemble Learning and Deep Auto-Encoders for Operational Reliability Assessment of Bearings., , , , , and . Neural Processing Letters, 51 (1): 383-406 (2020)Evolving feedforward artificial neural networks using a two-stage approach., , and . Neurocomputing, (2019)Three-dimensional digital process typesetting and printing system based on DELMIA., and . EMEIT, page 2888-2891. IEEE, (2011)A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN., , and . J. Appl. Math., (2013)CBAM-DCE: A Non-Reference Image Correction Algorithm for Uneven Illumination., , , , , and . AIPR, page 803-809. ACM, (2022)Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data., , , , , and . Reliab. Eng. Syst. Saf., (August 2023)A domain adaptation method for bearing fault diagnosis using multiple incomplete source data., , , , , and . J. Intell. Manuf., 35 (2): 777-791 (February 2024)