Portia Banerjee
Portia Banerjee
Research Engineer, KBR Inc., NASA Ames Research Center.
Verified email at
Cited by
Cited by
A novel machine learning model for eddy current testing with uncertainty
P Zhu, Y Cheng, P Banerjee, A Tamburrino, Y Deng
ndt & e International 101, 104-112, 2019
Prediction of impact-damage growth in GFRP plates using particle filtering algorithm
P Banerjee, O Karpenko, L Udpa, M Haq, Y Deng
Composite Structures 194, 527-536, 2018
Real-time uav trajectory prediction for safety monitoring in low-altitude airspace
M Corbetta, P Banerjee, W Okolo, G Gorospe, DG Luchinsky
Aiaa aviation 2019 forum, 3514, 2019
Data-driven Prognosis of Fatigue-induced Delamination in Composites using Optical and Acoustic NDE methods
P Banerjee, RP Palanisamy, M Haq, L Udpa, Y Deng
2019 IEEE International Conference on Prognostics and Health Management …, 2019
In-time uav flight-trajectory estimation and tracking using bayesian filters
P Banerjee, M Corbetta
2020 IEEE aerospace conference, 1-9, 2020
Prognosis of fatigue induced stiffness degradation in gfrps using multi-modal nde data
P Banerjee, RP Palanisamy, L Udpa, M Haq, Y Deng
Composite Structures 229, 111424, 2019
Confidence metric for signal classification in non destructive evaluation
P Banerjee, L Udpa, S Udpa, J Benson
NDT & E International 91, 88-96, 2017
In-flight detection of vibration anomalies in unmanned aerial vehicles
P Banerjee, WA Okolo, AJ Moore
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2020
An Uncertainty Quantification Framework for Autonomous System Tracking and Health Monitoring
M Corbetta, C Kulkarni, P Banerjee, E Robinson
International Journal of Prognostics and Health Management 12 (3), 2021
3D Representation of UAV-obstacle Collision Risk Under Off-nominal conditions
P Banerjee, G Gorospe, E Ancel
2021 IEEE Aerospace Conference (50100), 1-7, 2021
Investigation of a comprehensive confidence measure in nde
P Banerjee, S Safdarnejad, L Udpa, S Udpa
AIP Conference Proceedings 1650 (1), 1948-1957, 2015
Probability of Obstacle Collision for UAVs in presence of Wind
P Banerjee, M Corbetta, K Jarvis
AIAA AVIATION 2022 Forum, 3460, 2022
Risk Assessment of Obstacle Collision for UAVs under off-nominal conditions
P Banerjee, G Gorospe
Annual Conference of the PHM Society 12 (1), 9-9, 2020
Low Field Methods (GMR, Hall Probes, etc.)
VT Rathod, P Banerjee, Y Deng
Handbook of Advanced Nondestructive Evaluation, 827-880, 2019
Damage detection using time-frequency decay-rate based features
P Banerjee, D Chakraborty, T Rinker
2017 IEEE International Conference on Prognostics and Health Management …, 2017
Image reconstruction from highly sparse and limited angular diffraction tomography using compressed sensing approach
PR Paladhi, A Tayebi, P Banerjee, L Udpa, S Udpa
Progress In Electromagnetics Research 158, 21-36, 2017
Ensemble of classifiers for confidence-rated classification of nde signal
P Banerjee, S Safdarnejad, L Udpa, S Udpa
AIP Conference Proceedings 1706 (1), 180001, 2016
Fatigue damage prognosis in adhesive bonded composite lap-joints using guided waves
RP Palanisamy, P Banerjee, S Mukherjee, M Haq, Y Deng
2020 IEEE International Conference on Prognostics and Health Management …, 2020
Uncertainty Propagation in Pre-Flight Prediction of Unmanned Aerial Vehicle Separation Violations
M Corbetta, K Jarvis, P Banerjee
2022 IEEE Aerospace Conference (AERO), 1-11, 2022
Numerical Modal Sensitivity Analysis for Fatigue Damage Accumulation in Adhesively Bonded Lap-Joint
RP Palanisamy, P Banerjee, M Haq, Y Deng
ASME International Mechanical Engineering Congress and Exposition 85543 …, 2021
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