A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis

S Al-Dahidi, F Di Maio, P Baraldi, E Zio… - Applied Soft Computing, 2018 - Elsevier
When a fleet of similar Systems, Structures and Components (SSCs) is available, the use of
all the available information collected on the different SSCs is expected to be beneficial for …

Technologies to Reactors: Enabling Accelerated Deployment of Nuclear Energy Systems Workshop Report

K Tobin Jr, J Busby, MJ Hackett, L Love, S Babu… - 2018 - osti.gov
Nuclear energy provides almost 20% of the electric power in the United States, producing
power with high availability while accounting for 63% of our carbon-free energy production …

Fuzzy integration of support vector regression models for anticipatory control of complex energy systems

M Alamaniotis, V Agarwal - International Journal of Monitoring and …, 2014 - igi-global.com
Anticipatory control systems are a class of systems whose decisions are based on
predictions for the future state of the system under monitoring. Anticipation denotes …

Hybrid modeling of heavy duty gas turbines for on-line performance monitoring

T Palmé, F Liard, D Cameron - … Expo: Power for …, 2014 - asmedigitalcollection.asme.org
Due to their complex physics, accurate modeling of modern heavy duty gas turbines can be
both challenging and time consuming. For online performance monitoring, the purpose of …

Development of asset fault signatures for prognostic and health management in the nuclear industry

V Agarwal, NJ Lybeck, R Bickford… - … on Prognostics and …, 2014 - ieeexplore.ieee.org
Proactive online monitoring in the nuclear industry is being explored using the Electric
Power Research Institute's Fleet-Wide Prognostic and Health Management (FW-PHM) Suite …

Mechanics Informed Neutron Noise Monitoring to Perform Remote Condition Assessment for Reactor Vessel Internals

GA Banyay, MJ Palamara… - … -ASME Journal of …, 2022 - asmedigitalcollection.asme.org
The use of neutron noise analysis in pressurized water reactors to detect and diagnose
degradation represents the practice of pro-active structural health monitoring for reactor …

Dynamic PRA with component aging and degradation modeled utilizing plant risk monitoring data

V Yadav, V Agarwal, AV Gribok, CL Smith - 2017 - osti.gov
In the nuclear industry, risk monitors are intended to provide a point-in-time estimate of the
system risk given the current plant configuration. Current risk monitors are limited in that they …

Predictive based monitoring of nuclear plant component degradation using support vector regression

V Agarwal, M Alamaniotis, LH Tsoukalas - 2015 - osti.gov
Nuclear power plants (NPPs) are large installations comprised of many active and passive
assets. Degradation monitoring of all these assets is expensive (labor cost) and highly …

Implementation of remaining useful lifetime transformer models in the fleet-wide prognostic and health management suite

V Agarwal, NJ Lybeck, B Pham, R Rusaw, R Bickford - 2015 - osti.gov
Research and development efforts are required to address aging and reliability concerns of
the existing fleet of nuclear power plants. As most plants continue to operate beyond the …

[PDF][PDF] Determinants of Assurance Management System for Critical Asset: A Literature Review

JA Tubil, AS Acosta, IC Acosta… - International Journal of …, 2021 - researchgate.net
Several studies found that critical asset failure results in delays and downtimes in operation
for most industries. One of the studies revealed that 272 of the 773 occurrences involved a …