Items where Author is "Kumar, Rahul R."

Raj, Krish K. and Kumar, Shahil and Cirrincione, Giansalvo and Cirrincione, Maurizio and Kumar, Rahul R. (2024) Bearing Fault Classification using Temporal Features for Wind Turbine Application: Harnessing Neural and Non - Neural Techniques. [Conference Proceedings]

Kumar, Shahil and Buksh, Nafiz and Raj, Krish K. and Kumar, Rahul R. (2024) A Comparative Classification Study for Broken Rotor Bar Fault and its Severity Analysis using Machine Learning Approaches in Rotating Machines. [Conference Proceedings]

Cheon, Terence and Malai, Michael and Cirrincione, Giansalvo and Cirrincione, Maurizio and Kumar, Rahul R. and Mohammadi, Ali (2024) Diagnosis of Faults in Proton Exchange Membrane Fuel Cells Using Shallow Neural - Based Approaches. [Conference Proceedings]

Peter, Naithan and Kumar, Rahul R. and Chand, Shyamal S. and Cirrincione, Maurizio (2024) Enhancing Open Circuit Switch Fault Localization in Two-Level Voltage Source Inverters through Machine Learning with 3D Current Trajectory Analysis. [Conference Proceedings]

Chand, Prasheel and Mani, Ishant and Kumar, Rahul R. and Cirrincione, Maurizio (2024) Machine Learning-Based Classification of Stator Inter - Turn Faults Severities Using Time Domain Features and Principal Component Analysis. [Conference Proceedings]

Khan, Abdul S. and Mohammadi, Ali and Kumar, Rahul R. and Cirrincione, Maurizio (2024) Optimal Design of a PV-RHFC Hybrid Micro - grid for Rural Electrification in Soa Village, Fiji. [Conference Proceedings]

Kumar, Rahul R. and Sharma, Priynka and Mohammadi, Ali and Cirrincione, Giansalvo and Cirrincione, Maurizio (2023) Detection and classification of stator inter - turn fault severity levels using prominence - based features and neural networks. [Conference Proceedings]

Rokocakau, Samuela and Tresca, Giulia and Cirrincione, Giansalvo and Zanchetta, Pericle and Kumar, Rahul R. and Cirrincione, Maurizio and Frosini, Lucia (2023) Fault Detection in Cascaded H - Bridge Inverters using Spectrogram Analysis and Convolutional Neural Networks. [Conference Proceedings]

Kumar, Vijayeskar and Kumar, Shahil and Raj, Krish K. and Assaf, Mansour and Groza, Voicu and Kumar, Rahul R. (2023) ECG Multi Class Classification Using Machine Learning Techniques. [Conference Proceedings]

Tagimae, Henry and Kumar, Shiu and Groza, Voicu Z. and Rakaria, Joeli and Assaf, Mansour and Kumar, Rahul R. and Petriu, Emil M. (2023) Machine learning - based feature extraction method for sleep stage classification. [Conference Proceedings]

Kumar, Shahil and Malai, Michael and Kororua, Ganitoga and Groza, Voicu and Assaf, Mansour and Kumar, Rahul R. (2023) Synchronous Machine Modelling Using Linear Regression Approaches. [Conference Proceedings]

Kumar, Anischal and Groza, Voicu and Raj, Krish K. and Assaf, Mansour and Kumar, Shahil and Kumar, Rahul R. (2023) Comparative Analysis of Machine Learning Techniques for Bearing Fault Classification in Rotating Machinery. [Conference Proceedings]

Ali, Arshaque A. and Deo, Salveen S. and Kumar, Rahul R. (2023) A Computer Vision - based Pothole and Road Distress Detection System for Extreme Weather and Natural Disaster - Prone Fiji. [Conference Proceedings]

Kumar, Rahul R. and Cirrincione, Giansalvo and Taherzadeh, Mehdi and Hénao, Humberto (2023) Open Rotor Phase Fault Detection in Wound - Rotor Induction Machines Using Signal Texture and Shallow Neural Networks. [Conference Proceedings]

Sharma, Priynka and Cirrincione, Giansalvo and Kumar, Rahul R. and Mohammadi, Ali and Cirrincione, Maurizio (2023) Stator inter - turn fault severity classification using neural based approaches. [Conference Proceedings]

Raj, Krish K. and Joshi, Sukhde and Kumar, Rahul R. (2022) A LSTM - based Neural Strategy for Diagnosis of Stator Inter - turn Faults with Low Severity Level for Induction Motors. [Conference Proceedings]

Chand, Shyamal S. and Kumar, Rahul R. and Prasad, Ravneel and Cirrincione, Maurizio and Raj, Krish K. (2022) Open Circuit (OC) and Short Circuit (SC) IGBT Switch Fault Detection in Three - Phase Standalone Photovoltaic Inverters Using Shallow Neural Networks. [Conference Proceedings]

Kumar, Rahul R. and Randazzo, Vincenzo and Cirrincione, Giansalvo and Cirrincione, Maurizio (2022) Tracking Evolution of Stator - based Fault in Induction Machines using the Growing Curvilinear Component Analysis Neural Network. [Conference Proceedings]

Riccio, Jacopo and Kumar, Rahul R. and Cirrincione, Giansalvo and Zanchetta, Pericle and Cirrincione, Maurizio (2022) Fault Diagnosis using Shallow Neural Networks for Voltage Source Inverters in SynRM Drives. [Conference Proceedings]

Sukaria, William and Malasa, James and Kumar, Shiu and Kumar, Rahul R. and Assaf, Mansour and Groza, Voicu and Petriu, Emil M. and Das, Sunil (2022) Epileptic Seizure Detection Using Convolution Neural Networks. [Conference Proceedings]

Raj, Krish K. and Joshi, Sukhde and Kumar, Rahul R. (2022) A state - space model for induction machine stator inter - turn fault and its evaluation at low severities by PCA. [Conference Proceedings]

Narayan, Siwan and Kumar, Rahul R. and Cirrincione, Giansalvo and Cirrincione, Maurizio (2021) Detection of Stator Fault in Synchronous Reluctance Machines Using Shallow Neural Networks. [Conference Proceedings]

Kumar, Rahul R. and Kumar, Shanal S. and Cirrincione, Giansalvo and Cirrincione, Maurizio and Guilbert, Damien and Ram, Krishnil R. and Mohammadi, Ali (2021) Power Switch Open - Circuit Fault-Diagnosis Based on a Shallow Long - Short Term Memory Neural Network: Investigation of an Interleaved Buck Converter for Electrolyzer applications. [Conference Proceedings]

Chand, Komal and Chand, Kavilash and Kumar, Rahul R. and Sharma, Bibhya N. and Assaf, Mansour and Das, Sunil and Groza, Voicu and Petriu, Emil and Biswas, Satyendra (2021) An Optimized Tongue Drive System for Disabled Persons. [Conference Proceedings]

Bula, Josese and Arukelana, Eddie and Bali, Arishnil and Sharma, Bibhya N. and Kumar, Rahul R. and Assaf, Mansour (2021) Human Behavior Identification and Recognition System. [Conference Proceedings]

Andriollo, M. and Kumar, Rahul R. and Tortella, A. and Zavagnin, Riccardo (2020) FEM based Assessment of Winding Inter-Tum Fault Indicators in Line Connected Induction Motors. [Conference Proceedings]

Kumar, Rahul R. and Tortella, A. and Andriollo, M. (2020) Spectral and Discriminant Analysis Based Classification of Faults in Induction Machines. [Conference Proceedings]

Assaf, Mansour and Kumar, Rahul R. and Nambiar, Karthiyani and Narayan, Sharishna and Nath, Niraj N. and Reddy, Yogesh and Sharma, Krishneel K. and Sharma, Bibhya N. (2019) Enabling students with severe disabilities to communicate with learning environments. [Conference Proceedings]

Kumar, Rahul R. and Cirrincione, Giansalvo and Cirrincione, Maurizio and Andriollo, M. and Tortella, A. (2018) Accurate Fault Diagnosis and Classification Scheme based on Non-Parametric, Statistical-Frequency Features and Neural Networks. [Conference Proceedings]

Kumar, Rahul R. and Cirrincione, Giansalvo and Cirrincione, Maurizio and Tortella, A. and Andriollo, M. (2018) Induction Machine Fault Diagnosis Using Stator Current Subspace Spectral Estimation. [Conference Proceedings]

Kumar, Rahul R. and Cirrincione, Giansalvo and Cirrincione, Maurizio and Tortella, A. and Andriollo, M. (2018) A Topological and Neural Based Technique for Classification of Faults in Induction Machines. [Conference Proceedings]

Kumar, Rahul R. and Randazzo, Vincenzo and Cirrincione, G. and Cirrincione, Maurizio and Pasero, Eros (2017) Analysis of stator faults in induction machines using growing curvilinear component analysis. [Conference Proceedings]

Kumar, Rahul R. and Chand, Praneel (2015) Inverse kinematics solution for trajectory tracking using artificial neural networks for SCORBOT ER-4u. [Conference Proceedings]

Kumar, Rahul R. and Lal, Sunil P. and Kumar, Sanjesh and Chand, Praneel (2014) Object detection and recognition for a pick and place Robot. [Conference Proceedings]