Matthew B. Russell
Matthew B. Russell
Aviation Systems Embedded Software @ Leidos
Verified email at - Homepage
Cited by
Cited by
Physics-informed deep learning for signal compression and reconstruction of big data in industrial condition monitoring
M Russell, P Wang
Mechanical Systems and Signal Processing 168, 108709, 2022
An incremental and approximate local outlier probability algorithm for intrusion detection and its evaluation
C Hamlet, J Straub, M Russell, S Kerlin
Journal of Cyber Security Technology 1 (2), 75-87, 2017
Domain Adversarial Transfer Learning for Generalized Tool Wear Prediction
M Russell, PE Wang
Annual Conference of the PHM Society 12 (1), 8-8, 2020
Stochastic modeling for tracking and prediction of gradual and transient battery performance degradation
MB Russell, EM King, CA Parrish, P Wang
Journal of Manufacturing Systems 59, 663-674, 2021
Software design for an intelligent attitude determination and control system
M Russell, J Straub
Research Experience for Undergraduates Poster Session at the AIAA/USU …, 2015
Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding
M Russell, J Kershaw, Y Xia, T Lv, Y Li, H Ghassemi-Armaki, BE Carlson, ...
Journal of Intelligent Manufacturing 35 (3), 1305-1319, 2024
Characterization of command software for an autonomous attitude determination and control system for spacecraft
M Russell, J Straub
International journal of computers and applications 39 (4), 198-209, 2017
Mixed-Up Experience Replay for Adaptive Online Condition Monitoring
M Russell, P Wang, S Liu, IS Jawahir
IEEE Transactions on Industrial Electronics, 2023
Improved Representations for Continual Learning of Novel Motor Health Conditions through Few-Shot Prototypical Networks
M Russell, P Wang
2022 IEEE 18th International Conference on Automation Science and …, 2022
Data-driven process characterization and adaptive control in robotic arc welding
P Wang, J Kershaw, M Russell, J Zhang, Y Zhang, RX Gao
CIRP Annals 71 (1), 45-48, 2022
Maximizing model generalization for machine condition monitoring with Self-Supervised Learning and Federated Learning
M Russell, P Wang
Journal of Manufacturing Systems 71, 274-285, 2023
Deep learning-based mechanical fault detection and diagnosis of electric motors using directional characteristics of acoustic signals
S Ippili, MB Russell, P Wang, DW Herrin
Noise Control Engineering Journal 71 (5), 384-389, 2023
Normalizing Flows for Intelligent Manufacturing
M Russell, P Wang
International Manufacturing Science and Engineering Conference 87240 …, 2023
Generalizable and Adaptable Data-Driven Methods for Overcoming Barriers to Practical Industrial Condition Monitoring
M Russell
University of Kentucky, 2023
Interpretable Data-Driven Prediction of Resistance Spot Weld Quality
P Wang, M Russell, J Kershaw, Y Xia, T Lv, Y Li, H Ghassemi-Armaki, ...
International Symposium on Flexible Automation, 2022
Smartphone App Design for Product Use Sustainability Evaluation
M Russell, P Hong, L Blakely, M Kirkham, C Enyoghasi, P Wang, ...
EcoDesign 2021 International Symposium, 2021
Transferable Deep Learning for In-Situ Tool Wear Diagnosis
M Russell, P Wang
International Symposium on Flexible Automation 83617, V001T09A006, 2020
Parameter Analysis of an Adaptive, Fault-Tolerant Attitude Control System Using Lazy Learning
M Russell
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