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Vibration-Based Fault Diagnosis of Broken Impeller and Mechanical Seal Failure in Industrial Mono-Block Centrifugal Pumps Using Deep Convolutional Neural Network
Convolutional Neural networks based on parallel multi-scale pooling branch: A transfer diagnosis method for mechanical vibrational signal with less computational cost
Fault diagnosis of various rotating equipment using machine learning approaches – A review
S Manikandan and K Duraivelu Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 235(2) 629 (2021) https://doi.org/10.1177/0954408920971976
Bearings fault detection using wavelet transform and generalized Gaussian density modeling
Bearing fault diagnostics using EEMD processing and convolutional neural network methods
Iskander Imed Eddine Amarouayache, Mohamed Nacer Saadi, Noureddine Guersi and Nadir Boutasseta The International Journal of Advanced Manufacturing Technology 107(9-10) 4077 (2020) https://doi.org/10.1007/s00170-020-05315-9
Study on a Novel Fault Diagnosis Method Based on VMD and BLM
Condition Monitoring of Bearing Faults Using the Stator Current and Shrinkage Methods
Oscar Duque-Perez, Carlos Del Pozo-Gallego, Daniel Morinigo-Sotelo and Wagner Fontes Godoy Energies 12(17) 3392 (2019) https://doi.org/10.3390/en12173392
Multiscale Distribution Entropy and t-Distributed Stochastic Neighbor Embedding-Based Fault Diagnosis of Rolling Bearings