Pradeep Ramuhalli Group Leader, Modern Nuclear I&C Group, Nuclear Energy and Fuel Cycle Division Contact ramuhallip@ornl.gov | 865.341.0035 All Publications Multi-module-based CVAE to predict HVCM faults in the SNS accelerator... Technical Specification Surveillance Interval Extension Using Self-Diagnostics... Technical Challenges and Gaps in Integration of Advanced Sensors, Instrumentation, and Communication Technologies with Digita... Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems Classification of ultrasonic B-scan images from welding defects using a convolutional neural network A Risk-Informed Assessment of Operational Options for Successfully Avoiding a Trip Setpoint Development of Microreactor Automated Control System (MACS): Surrogate Plant-level Modeling and Control Algorithms Integration Digital Twins for Nuclear Power Plants and Facilities Machine learning for ultrasonic nondestructive examination of welding defects: A systematic review... Uncertainty aware anomaly detection to predict errant beam pulses in the Oak Ridge Spallation Neutron Source accelerator... How Digital Twins May Be Used in Design and Operations... Ultrasonic nondestructive diagnosis of lithium-ion batteries with multiple frequencies... Development of a BWR System Fault Simulator Using TRANSFORM/Modelica... Regulatory Requirements, Guidance, and Review of Digital Twins... Laser Doppler vibrometry for piezoelectric coefficient ( d33 ) measurements in irradiated aluminum nitride... Irradiation-induced Degradation of Surface Acoustic Wave Devices Fabricated on Bulk AlN... A Methodology for Online Sensor Recalibration... Application of Convolutional and Feedforward Neural Networks for Fault Detection in Particle Accelerator Power Systems... Status Report on Regulatory Criteria Applicable to the Use of Digital Twins... Machine learning of ultrasonic data for expansion prediction of concrete with alkali-silica reaction... Consolidated Hydropower Data Repository: Value and Opportunities... Physics-informed neural networks for identification of material properties using standing waves... Analytical modeling of the evolution of the nonlinearity parameter of sensitized stainless steel... DEVELOPMENT OF ULTRASONIC DENSIMETER AND VISCOMETER FOR FLUID CHARACTERIZATION... Prognostics and Health Management in Nuclear Power Plants: An Updated Method-Centric Review With Special Focus on Data-Driven... Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links ORCID Organizations Fusion and Fission Energy and Science Directorate Nuclear Energy and Fuel Cycle Division Advanced Reactor Engineering and Development Section Modern Nuclear I&C Group Energy Science and Technology Directorate Water Power Program Artificial Intelligence (AI) Initiative
