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2020 – today
- 2023
[j19]Prajoy Podder
, Sanchita Rani Das, M. Rubaiyat Hossain Mondal, Subrato Bharati, Azra Maliha, Md Junayed Hasan, Farzin Piltan:
LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases. Sensors 23(1): 480 (2023)- [j18]Farzin Piltan, Jong-Myon Kim:
Bearing Fault Diagnosis Using a Hybrid Fuzzy V-Structure Fault Estimator Scheme. Sensors 23(2): 1021 (2023) - 2022
- [j17]Farzin Piltan, Jong-Myon Kim:
Leak detection and localization for pipelines using multivariable fuzzy learning backstepping. J. Intell. Fuzzy Syst. 42(1): 377-388 (2022) - [j16]Farzin Piltan, Rafia Nishat Toma, Dongkoo Shon, Kichang Im, Hyun-Kyun Choi, Dae-Seung Yoo, Jong-Myon Kim:
Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification. Sensors 22(2): 539 (2022) - [j15]Yangde Gao, Farzin Piltan, Jong-Myon Kim:
A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial Pipelines. Sensors 22(10): 3963 (2022) - [j14]Rafia Nishat Toma, Farzin Piltan, Kichang Im, Dongkoo Shon, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim:
A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions. Sensors 22(13): 4881 (2022) - [j13]Yangde Gao, Farzin Piltan, Jong-Myon Kim:
A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery. Sensors 22(19): 7534 (2022) - [j12]Rafia Nishat Toma, Yangde Gao, Farzin Piltan, Kichang Im, Dongkoo Shon, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim:
Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features. Sensors 22(22): 8958 (2022) - [c5]Yangde Gao, Farzin Piltan, Zahoor Ahmad, Rafia Nishat Toma, Jong-Myon Kim:
A Novel Fault Diagnosis Method Based on MADCNN for Rolling Bearings. MLIS 2022: 56-63 - 2021
- [j11]Farzin Piltan, Jong-Myon Kim:
Fault Diagnosis of Bearings Using an Intelligence-Based Autoregressive Learning Lyapunov Algorithm. Int. J. Comput. Intell. Syst. 14(1): 537-549 (2021) - [j10]Farzin Piltan, Bach Phi Duong, Jong-Myon Kim:
Deep Learning-Based Adaptive Neural-Fuzzy Structure Scheme for Bearing Fault Pattern Recognition and Crack Size Identification. Sensors 21(6): 2102 (2021) - [j9]Farzin Piltan, Jong-Myon Kim:
Crack Size Identification for Bearings Using an Adaptive Digital Twin. Sensors 21(15): 5009 (2021) - [j8]Rafia Nishat Toma, Farzin Piltan, Jong-Myon Kim:
A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors. Sensors 21(24): 8453 (2021) - [j7]Alexander E. Prosvirin, Farzin Piltan, Jong-Myon Kim:
Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation Technique. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5144-5155 (2021) - [c4]Farzin Piltan, Jong-Myon Kim:
Crack Localization of Pipelines Using Machine Learning and Fuzzy Digital Twin. ICTC 2021: 337-342 - [c3]Farzin Piltan, Jong-Myon Kim:
An Adaptive-Backstepping Digital Twin-Based Approach for Bearing Crack Size Identification Using Acoustic Emission Signals. ISDA 2021: 538-547 - 2020
- [j6]Farzin Piltan, Jong-Myon Kim:
Advanced fuzzy-based leak detection and size estimation for pipelines. J. Intell. Fuzzy Syst. 38(1): 947-961 (2020) - [j5]Farzin Piltan, Alexander E. Prosvirin, Jong-Myon Kim:
Robot manipulator active fault-tolerant control using a machine learning-based automated robust hybrid observer. J. Intell. Fuzzy Syst. 39(5): 6443-6463 (2020) - [j4]Alexander E. Prosvirin, Farzin Piltan, Jong-Myon Kim:
Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural Network. Sensors 20(21): 6265 (2020)
2010 – 2019
- 2018
- [j3]Shahnaz Tayebi-Haghighi, Farzin Piltan, Jong-Myon Kim:
Robust Composite High-Order Super-Twisting Sliding Mode Control of Robot Manipulators. Robotics 7(1): 13 (2018) - [j2]Farzin Piltan, Jong-Myon Kim:
Bearing Fault Diagnosis by a Robust Higher-Order Super-Twisting Sliding Mode Observer. Sensors 18(4): 1128 (2018) - [j1]Farzin Piltan, Jong-Myon Kim:
Bearing Fault Diagnosis Using an Extended Variable Structure Feedback Linearization Observer. Sensors 18(12): 4359 (2018) - [c2]Farzin Piltan, Jong-Myon Kim:
Fault Diagnosis of a Wireless Sensor Network Using a Hybrid Method. PDCAT 2018: 133-142 - 2017
- [c1]Farzin Piltan, Muhammad Sohaib, Jong-Myon Kim:
Fault Diagnosis of a Robot Manipulator Based on an ARX-Laguerre Fuzzy PID Observer. RiTA 2017: 393-407
Coauthor Index
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