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Fuzzy determination of informative frequency band for bearing fault detection.

, , , , , and . J. Intell. Fuzzy Syst., 30 (6): 3513-3525 (2016)

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Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM., , , , , and . J. Intell. Manuf., 33 (4): 1031-1055 (2022)Hierarchical feature selection based on relative dependency for gear fault diagnosis., , , , , and . Appl. Intell., 44 (3): 687-703 (2016)Observer-biased bearing condition monitoring: From fault detection to multi-fault classification., , , , , , and . Eng. Appl. Artif. Intell., (2016)One-Shot Fault Diagnosis of Three-Dimensional Printers Through Improved Feature Space Learning., , , , , and . IEEE Trans. Ind. Electron., 68 (9): 8768-8776 (2021)Deep Hybrid State Network With Feature Reinforcement for Intelligent Fault Diagnosis of Delta 3-D Printers., , , , , and . IEEE Trans. Ind. Informatics, 16 (2): 779-789 (2020)Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal., , , , and . Sensors, 15 (9): 23903-23926 (2015)A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis., , , , , and . IEEE Trans. Fuzzy Syst., 27 (7): 1362-1382 (2019)Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery., , , , , , and . IEEE Access, (2019)Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery., , , , , and . Expert Syst. Appl., (2017)A comparison of fuzzy clustering algorithms for bearing fault diagnosis., , , , , , and . J. Intell. Fuzzy Syst., 34 (6): 3565-3580 (2018)