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Sensors (Basel, Switzerland)|August 10, 2021
Crack Size Identification for Bearings Using an Adaptive Digital TwinFarzin Piltan, Jong-Myon KimSensors (Basel, Switzerland)|January 21, 2023
Bearing Fault Diagnosis Using a Hybrid Fuzzy V-Structure Fault Estimator SchemeFarzin Piltan, Jong-Myon KimSensors (Basel, Switzerland)|December 15, 2018
Bearing Fault Diagnosis Using an Extended Variable Structure Feedback Linearization ObserverFarzin Piltan, Jong-Myon KimSensors (Basel, Switzerland)|April 13, 2018
Bearing Fault Diagnosis by a Robust Higher-Order Super-Twisting Sliding Mode ObserverFarzin Piltan, Jong-Myon KimSensors (Basel, Switzerland)|October 14, 2022
A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating MachineryYangde Gao, Farzin Piltan, Jong-Myon KimSensors (Basel, Switzerland)|May 28, 2022
A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial PipelinesYangde Gao, Farzin Piltan, Jong-Myon KimSensors (Basel, Switzerland)|April 3, 2021
Deep Learning-Based Adaptive Neural-Fuzzy Structure Scheme for Bearing Fault Pattern Recognition and Crack Size IdentificationFarzin Piltan, Bach Phi Duong, Jong-Myon KimSensors (Basel, Switzerland)|December 28, 2021
A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction MotorsRafia Nishat Toma, Farzin Piltan, Jong-Myon KimIEEE Transactions on Neural Networks and Learning Systems|October 8, 2020
Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation TechniqueAlexander E Prosvirin, Farzin Piltan, Jong-Myon KimSensors (Basel, Switzerland)|November 6, 2020
Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural NetworkAlexander E Prosvirin, Farzin Piltan, Jong-Myon KimPageof 9