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Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods.

, , , and . Sensors, 18 (12): 4379 (2018)

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Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal., and . Canadian AI, volume 10832 of Lecture Notes in Computer Science, page 144-155. Springer, (2018)A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models., , , and . Reliab. Eng. Syst. Saf., (2019)Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models., , and . IDEAL (1), volume 11314 of Lecture Notes in Computer Science, page 147-155. Springer, (2018)Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models., , , and . Sensors, 18 (7): 2040 (2018)Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines., and . Reliab. Eng. Syst. Saf., (2019)An Improved Algorithm for Selecting IMF Components in Ensemble Empirical Mode Decomposition for Domain of Rub-Impact Fault Diagnosis., , and . IEEE Access, (2019)Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning., , and . Sensors, 22 (1): 56 (2022)Time-frequency envelope analysis-based sub-band selection and probabilistic support vector machines for multi-fault diagnosis of low-speed bearings., and . J. Ambient Intell. Humaniz. Comput., 15 (2): 1527-1542 (February 2024)Multi-fault Diagnosis of Roller Bearings Using Support Vector Machines with an Improved Decision Strategy., , and . ICIC (3), volume 9227 of Lecture Notes in Computer Science, page 538-550. Springer, (2015)Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network., and . Comput. Ind., (2019)