Year : 2024
Performance Enhancements of HTS Power Cables by Minimizing the Electric Field Enhancements for Electric Transport Applications
Cite this Research Publication : A. Mullings, P. Meansah, A. K. Das, N. Guvvala, C. H. Kim, S. V. Pamidi and P. Cheetham*, “Performance Enhancements of HTS Power Cables by Minimizing the Electric Field Enhancements for Electric Transport Applications”, Superconductor Science and Technology, 2024.
Year : 2024
Evaluation of Lapped Tape Electrical Insulation for Gaseous Helium Cooled High Temperature Superconducting Power Cables
Cite this Research Publication : M.T. Nazir, N. Guvvala, A. K. Das, C. H. Kim, S. V. Pamidi and P. Cheetham, “Evaluation of Lapped Tape Electrical Insulation for Gaseous Helium Cooled High Temperature Superconducting Power Cables”, IEEE Transactions on Transportation Electrification, 2024.
Publisher : IEEE
Year : 2023
Electrical Tracking, Erosion and Fire Retardancy Performance of Silicone Rubber Insulation Containing Aluminum Trihydrate, Graphene and Glass Fibre Additives
Cite this Research Publication : T. Nazir, A. Khalid, T. Phung, A. K. Das, P. Cheetham and A. Paramane, “Electrical Tracking, Erosion and Fire Retardancy Performance of Silicone Rubber Insulation Containing Aluminum Trihydrate, Graphene and Glass Fibre Additives”, CSEE Journal of Power and Energy Systems, vol. 9, no. 5, pp. 1918-1925, 2023.
Year : 2023
Remote Condition Monitoring of HVDC Cable Insulation Using Deep Learning-Aided Space Charge Classification
Cite this Research Publication : S. S. Roy, A. Paramane*, J. Singh, F. Meng, C. Dai, A. K. Das, S. Chatterjee, X. Chen and Y. Tanaka, “Remote Condition Monitoring of HVDC Cable Insulation Using Deep Learning-Aided Space Charge Classification,” IEEE Transactions on Dielectrics and Electrical Insulation, vol. 30, no. 1, pp. 377-384, 2023.
Publisher : IEEE
Year : 2023
Accurate Sensing of Insulator Surface Contamination Using Customized Convolutional Neural Network
Cite this Research Publication : S. S. Roy, A. Paramane, J. Singh, S. Chatterjee and A. K. Das, "Accurate Sensing of Insulator Surface Contamination Using Customized Convolutional Neural Network," IEEE Sensors Letters, vol. 7, no. 1, pp. 1-4, 2023.
Publisher : IEEE
Year : 2023
RPCNNet: A Deep Learning Approach to Sense Minor Stator Winding Interturn Fault Severity in Induction Motor Under Variable Load Condition
Cite this Research Publication : A. K. Das, S. Das, A. K. Pradhan, B. Chatterjee and S. Dalai, "RPCNNet: A Deep Learning Approach to Sense Minor Stator Winding Inter-Turn Fault Severity in Induction Motor under Variable Load Condition," IEEE Sensors Journal, vol. 23, no. 4, pp. 3965-3972, 2023.
Publisher : IEEE
Year : 2023
Automated Space Charge Classification Inside ±500-kV HVDC Cable Insulation Using Fusion of Superpixel and Deep Features for Remote Condition Assessment
Cite this Research Publication : S. S. Roy, A. Paramane, J. Singh, A. K. Das, S. Chatterjee and X. Chen, “Automated Space Charge Classification Inside ±500 kV HVDC Cable Insulation Using Fusion of Super pixel and Deep Features For Remote Condition Assessment,” IEEE Transactions on Instrumentation & Measurement, vol. 72, pp. 1-8, 2023.
Publisher : IEEE
Year : 2023
A Novel Deep-Learning Framework to Identify and Locate Single and Multiple Partial Discharge Events
Cite this Research Publication : R. Das, A. K. Das, S. Chatterjee, A. K. Pradhan, S. Biswas, S. Dalai*, B. Chatterjee and K. Bhattacharyya, “A Novel Deep Learning Framework to Identify and Locate Single and Multiple Partial Discharge Events”, IEEE Transactions on Dielectrics and Electrical Insulation, vol. 30, no. 6, pp. 2633-2641, 2023.
Publisher : IEEE
Year : 2023
Mathematical Morphology-Aided Bidirectional Long Short-Term Memory Network-Based Partial Discharge Pulse Sequence Classification
Cite this Research Publication : R. Das, A. K. Das, B. Chakraborty*, S. Chatterjee, S. Dalai, B. Chatterjee, and K. Bhattacharyya "Mathematical Morphology-Aided Bidirectional Long Short-Term Memory Network-Based Partial Discharge Pulse Sequence Classification," IEEE Transactions on Plasma Science, vol. 51, no. 12, pp. 3454-3461, 2023.
Year : 2022
Convolutional neural network and Bi-directional long short memory hybrid deep network aided infrared image classification framework for non-contact monitoring of overhead insulators
Cite this Research Publication : A. K. Das, S. Deb, S. Chatterjee*, B. Chatterjee and S. Dalai, “Convolutional neural network and Bi-directional long short memory hybrid deep network aided infrared image classification framework for non-contact monitoring of overhead insulators,” IET signal Processing, vol. 16, no. 6, pp. 722-732, 2022.
Year : 2022
The effects of non-standard lightning impulse on electrical insulation: a review
Cite this Research Publication : P. Ghosh, A. K. Das, S. Dalai and S. Chatterjee, “The Effects of Non-Standard Lightning Impulse on Electrical Insulation: A Review,” Electrical Engineering (Spinger), vol. 104, pp. 4239-4254, 2022.
Publisher : Spinger
Year : 2022
Estimation of Moisture Content in XLPE Cable Insulation Using Electric Modulus
Cite this Research Publication : A. K. Das, S. Chatterjee, A. K. Pradhan, B. Chatterjee and S. Dalai, “Estimation of Moisture Content in XLPE Cable Insulation using Electric Modulus,” IEEE Transactions on Dielectrics and Electrical Insulation, vol. 29, no. 3, pp. 1030-1037, 2022.
Publisher : IEEE
Year : 2022
Multisynchrosqueezing Transform Based Improved Time-Frequency Representation for Automated Contamination Severity Estimation of Overhead Line Insulator
Cite this Research Publication : A. K. Das, S. Deb, D. Dey, B. Chatterjee and S. Dalai , “Multisynchrosqueezing Transform based improved Time-frequency representation to Sense Contamination Severity of Overhead Line Insulator,” IEEE Sensors Journal, vol. 22, no. 12, pp. 12098-12106, 2022.
Year : 2021
Deep learning–based surface contamination severity prediction of metal oxide surge arrester in power system
Cite this Research Publication : A. K. Das, S. Dalai and B. Chatterjee, “Deep learning-based surface contamination severity prediction of metal oxide surge arrester in power system,” IET Science, Measurement & Technology, vol. 15, no. 4, pp. 376-384, 2021.
Publisher : IET
Year : 2021
Condition Monitoring of Overhead Polymeric Insulators Employing Hyperbolic Window Stockwell Transform of Surface Leakage Current Signals
Cite this Research Publication : K. Sit, A. K. Das*, D. Mukherjee, N. Haque, S. Deb, A. K. Pradhan, S. Dalai and B. Chatterjee, “Condition Monitoring of Overhead Polymeric Insulators Employing Hyperbolic Window Stockwell Transform of Surface Leakage Current Signals,” IEEE Sensors Journal, vol. 21, no. 9, pp. 10957-10964, 2021.
Publisher : IEEE
Year : 2021
Hyperbolic Window S-Transform Aided Deep Neural Network Model-Based Power Quality Monitoring Framework in Electrical Power System
Cite this Research Publication : K. Nandi, A. K. Das, R. Ghosh, S. Dalai and B. Chatterjee, “Hyperbolic Window S-Transform Aided Deep Neural Network Model-Based Power Quality Monitoring Framework in Electrical Power System,” IEEE Sensors Journal, vol. 21, no. 12, pp. 13695-13703, 2021.
Publisher : IEEE
Year : 2021
Recent Development in Condition Monitoring Methodologies of MOSA Employing Leakage Current Signal: A Review
Cite this Research Publication : A. K. Das and S. Dalai, “Recent Development in Condition Monitoring Methodologies of MOSA Employing Leakage Current Signal: A Review,” IEEE Sensors Journal, vol. 21, no. 13, pp. 14559-14568, 2021.
Year : 2021
A Transfer Learning Approach to Sense the Degree of Surface Pollution for Metal Oxide Surge Arrester Employing Infrared Thermal Imaging
Cite this Research Publication : A. K. Das, D. Dey, B. Chatterjee and S. Dalai, “A Transfer Learning Approach to Sense the Degree of Surface Pollution for Metal Oxide Surge Arrester Employing Infrared Thermal Imaging,” IEEE Sensors Journal, vol. 21, no. 15, pp. 16961-16968, 2021.
Publisher : IEEE
Year : 2021
Fusion of Deep Features With Superpixel Based Local Handcrafted Features for Surface Condition Assessment of Metal Oxide Surge Arrester Using Infrared Thermal Images
Cite this Research Publication : A. K. Das, D. Dey, S. Dalai and B. Chatterjee, "Fusion of Deep Features With Superpixel Based Local Handcrafted Features for Surface Condition Assessment of Metal Oxide Surge Arrester Using Infrared Thermal Images," IEEE Sensors Letters, vol. 5, no. 11, pp. 1-4, 2021.
Year : 2021
A Novel Approach to Estimate the Quantity of Ingressed Moisture Content Inside Metal Oxide Surge Arrester Using Dielectric Modulus Technique
Cite this Research Publication : A. K. Das, B. Chatterjee and S. Dalai, “A Novel Approach to Estimate the Quantity of Ingressed Moisture Content inside Metal Oxide Surge Arrester using Dielectric Modulus Technique,” IEEE Transactions on Dielectrics and Electrical Insulation, vol. 28, no. 6, pp. 2178-2185, 2021.
Publisher : IEEE
Year : 2021
Cross Spectrum Aided Surface Condition Assessment of Metal Oxide Surge Arrester Employing Convolutional Neural Network
Cite this Research Publication : A. K. Das, S. Chatterjee, B. Chatterjee and S. Dalai, “Cross Spectrum Aided Surface Condition Assessment of Metal Oxide Surge Arrester Employing Convolutional Neural Network,” IEEE Transactions on Dielectrics and Electrical Insulation, vol. 28, no. 6, pp. 2134-2143, 2021.
Publisher : IEEE
Year : 2020
Sensing Surface Contamination of Metal Oxide Surge Arrester Through Resistive Leakage Current Signal Analysis by Mathematical Morphology
Cite this Research Publication : A. K. Das, B. Ghosh, S. Dalai and B. Chatterjee, “Sensing Surface Contamination of Metal Oxide Surge Arrester Through Resistive Leakage Current Signal Analysis by Mathematical Morphology,” IEEE Sensors Journal, vol. 20, no. 16, pp. 9460-9468, 2020.
Publisher : IEEE
Year : 2020
Estimation of Moisture Content in XLPE Insulation in Medium Voltage Cable by Frequency Domain Spectroscopy
Cite this Research Publication : A. K. Das, N. Haque, A. K. Pradhan, S. Dalai, B. Chatterjee and A. Mukherjee, “Estimation of Moisture Content in XLPE Insulation in Medium Voltage Cable by Frequency Domain Spectroscopy,” IEEE Transactions on Dielectrics and Electrical Insulation, vol. 27, no. 6, pp. 1811-1819, 2020.
Publisher : IEEE