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Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features.

, , , , , , , and . Sensors, 22 (22): 8958 (2022)

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A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors., , and . Sensors, 21 (24): 8453 (2021)A Novel Fault Diagnosis Method Based on MADCNN for Rolling Bearings., , , , and . MLIS, volume 360 of Frontiers in Artificial Intelligence and Applications, page 56-63. IOS Press, (2022)Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers., , and . Sensors, 20 (7): 1884 (2020)A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions., , , , , , and . Sensors, 22 (13): 4881 (2022)Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features., , , , , , , and . Sensors, 22 (22): 8958 (2022)Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification., , , , , , and . Sensors, 22 (2): 539 (2022)Bearing Fault Classification of Induction Motor Using Statistical Features and Machine Learning Algorithms., and . ISDA, volume 418 of Lecture Notes in Networks and Systems, page 243-254. Springer, (2021)Data-Driven Fault Classification of Induction Motor Based on Recurrence Plot and Deep Convolution Neural Network., , and . MLIS, volume 360 of Frontiers in Artificial Intelligence and Applications, page 64-71. IOS Press, (2022)