Rafia Nishat Toma
According to our database1,
Rafia Nishat Toma
authored at least 8 papers
between 2020 and 2022.
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Bibliography
2022
A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions.
Sensors, 2022
Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features.
Sensors, 2022
Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification.
Sensors, 2022
Data-Driven Fault Classification of Induction Motor Based on Recurrence Plot and Deep Convolution Neural Network.
Proceedings of the Machine Learning and Artificial Intelligence, 2022
Proceedings of the Machine Learning and Artificial Intelligence, 2022
2021
A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors.
Sensors, 2021
Bearing Fault Classification of Induction Motor Using Statistical Features and Machine Learning Algorithms.
Proceedings of the Intelligent Systems Design and Applications, 2021
2020
Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers.
Sensors, 2020