Articles with public access mandates - Vivek Agarwal, PhDLearn more
Not available anywhere: 5
Diagnosis of internal cracks in concrete using vibro-acoustic modulation and machine learning
S Miele, PM Karve, S Mahadevan, V Agarwal
Structural Health Monitoring 21 (5), 1973-1991, 2022
Mandates: US Department of Energy
ISM band integrated distributed antenna systems for industry 4.0: A techno-economic analysis
KA Manjunath, V Agarwal
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
Mandates: US Department of Energy
A Data Model for Nuclear Power Plant Work Packages
A Al Rashdan, V Agarwal
Nuclear Technology, 2019
Mandates: US Department of Energy
Acoustic data analysis for detecting alkali-silica reaction degradation in concrete
AR Dubey, SA Miele, V Agarwal, S Mahadevan
Pressure Vessels and Piping Conference 51661, V005T09A002, 2018
Mandates: US Department of Energy
Light Water Reactor Sustainability Program Online Monitoring of Induction Motors
TR McJunkin, V Agarwal, NJ Lybeck
Mandates: US Department of Energy
Available somewhere: 108
Modeling energy consumption and lifetime of a wireless sensor node operating on a contention-based MAC protocol
V Agarwal, RA DeCarlo, LH Tsoukalas
IEEE Sensors Journal 17 (16), 5153-5168, 2017
Mandates: US Department of Energy
Application of artificial intelligence in detection and mitigation of human factor errors in nuclear power plants: a review
M Sethu, B Kotla, D Russell, M Madadi, NA Titu, JB Coble, RL Boring, ...
Nuclear Technology 209 (3), 276-294, 2023
Mandates: US Department of Energy
Using artificial intelligence to detect human errors in nuclear power plants: A case in operation and maintenance
E Gursel, B Reddy, A Khojandi, M Madadi, JB Coble, V Agarwal, V Yadav, ...
Nuclear Engineering and Technology 55 (2), 603-622, 2023
Mandates: US Department of Energy
Fission battery initiative: research and development plan
V Agarwal, JC Gehin, YA Ballout
Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2021
Mandates: US Department of Energy
Prognostic and health management of active assets in nuclear power plants
V Agarwal, N Lybeck, BT Pham, R Rusaw, R Bickford
International Journal of Prognostics and Health Management 6 (INL/JOU-15-34317), 2015
Mandates: US Department of Energy
Wireless online position monitoring of manual valve types for plant configuration management in nuclear power plants
V Agarwal, JW Buttles, LH Beaty, J Naser, BP Hallbert
IEEE Sensors Journal 17 (2), 311-322, 2016
Mandates: US Department of Energy
Vibro-acoustic modulation and data fusion for localizing alkali–silica reaction–induced damage in concrete
P Karve, S Miele, K Neal, S Mahadevan, V Agarwal, ER Giannini, ...
Structural Health Monitoring 19 (6), 1905-1923, 2020
Mandates: US Department of Energy
Concrete structural health monitoring in nuclear power plants
V Agarwal, KD Neal, S Mahadevan, D Adams
Idaho National Lab.(INL), Idaho Falls, ID (United States), 2017
Mandates: US Department of Energy
Technical Basis for Advanced Artificial Intelligence and Machine Learning Adoption in Nuclear Power Plants
V Agarwal, CMB Walker, KA Manjunatha, TJ Mortenson, NJ Lybeck, ...
Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2022
Mandates: US Department of Energy
Scalable technologies achieving risk-informed condition-based predictive maintenance enhancing the economic performance of operating nuclear power plants
V Agarwal, KA Manjunatha, AV Gribok, TJ Mortenson, H Bao, RD Reese, ...
Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2021
Mandates: US Department of Energy
Machine learning and economic models to enable risk-informed condition based maintenance of a nuclear plant asset
V Agarwal, K Araseethota Manjunatha, JA Smith, AV Gribok, V Yadav, ...
Idaho National Lab.(INL), Idaho Falls, ID (United States), 2021
Mandates: US Department of Energy
Nuclear-Driven Integrated Energy Systems: A State-of-the-Art Review
AI Arvanitidis, V Agarwal, M Alamaniotis
Energies 16 (11), 4293, 2023
Mandates: US Department of Energy
Development and assessment of a model predictive controller enabling anticipatory control strategies for a heat-pipe system
L Lin, J Oncken, V Agarwal, C Permann, A Gribok, T McJunkin, S Eggers, ...
Progress in Nuclear Energy 156, 104527, 2023
Mandates: US Department of Energy, US Department of Defense
Development of prognostic models using plant asset data
P Ramuhalli, C Walker, V Agarwal, NJ Lybeck
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2020
Mandates: US Department of Energy
Using artificial intelligence to mitigate human factor errors in nuclear power plants: a review
M Sethu, NA Titu, D Hu, M Madadi, J Coble, R Boring, K Blache, ...
Nuc Sci Eng 10, 2021
Mandates: US Department of Energy
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