Farzin Piltan

Orcid: 0000-0002-8420-9500

According to our database1, Farzin Piltan authored at least 24 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Bearing Fault Diagnosis Using a Hybrid Fuzzy V-Structure Fault Estimator Scheme.
Sensors, January, 2023

LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases.
Sensors, 2023

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

A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery.
Sensors, 2022

A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial Pipelines.
Sensors, 2022

Leak detection and localization for pipelines using multivariable fuzzy learning backstepping.
J. Intell. Fuzzy Syst., 2022

A Novel Fault Diagnosis Method Based on MADCNN for Rolling Bearings.
Proceedings of the Machine Learning and Artificial Intelligence, 2022

2021
Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation Technique.
IEEE Trans. Neural Networks Learn. Syst., 2021

A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors.
Sensors, 2021

Crack Size Identification for Bearings Using an Adaptive Digital Twin.
Sensors, 2021

Deep Learning-Based Adaptive Neural-Fuzzy Structure Scheme for Bearing Fault Pattern Recognition and Crack Size Identification.
Sensors, 2021

Fault Diagnosis of Bearings Using an Intelligence-Based Autoregressive Learning Lyapunov Algorithm.
Int. J. Comput. Intell. Syst., 2021

An Adaptive-Backstepping Digital Twin-Based Approach for Bearing Crack Size Identification Using Acoustic Emission Signals.
Proceedings of the Intelligent Systems Design and Applications, 2021

Crack Localization of Pipelines Using Machine Learning and Fuzzy Digital Twin.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

2020
Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural Network.
Sensors, 2020

Robot manipulator active fault-tolerant control using a machine learning-based automated robust hybrid observer.
J. Intell. Fuzzy Syst., 2020

Advanced fuzzy-based leak detection and size estimation for pipelines.
J. Intell. Fuzzy Syst., 2020

2018
Bearing Fault Diagnosis Using an Extended Variable Structure Feedback Linearization Observer.
Sensors, 2018

Bearing Fault Diagnosis by a Robust Higher-Order Super-Twisting Sliding Mode Observer.
Sensors, 2018

Robust Composite High-Order Super-Twisting Sliding Mode Control of Robot Manipulators.
Robotics, 2018

Fault Diagnosis of a Wireless Sensor Network Using a Hybrid Method.
Proceedings of the Parallel and Distributed Computing, 2018

2017
Fault Diagnosis of a Robot Manipulator Based on an ARX-Laguerre Fuzzy PID Observer.
Proceedings of the Robot Intelligence Technology and Applications 5, 2017


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