Author: Pradeep RamuhalliPublisher:
ISBN:
Category : Detectors
Languages : en
Pages : 54
Book Description
Uncertainty Quantification Techniques for Sensor Calibration Monitoring in Nuclear Power Plants
Author: Pradeep RamuhalliPublisher:
ISBN:
Category : Detectors
Languages : en
Pages : 54
Book Description
Uncertainty Quantification Techniques for Sensor Calibration Monitoring in Nuclear Power Plants
Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 54
Book Description
This report describes research towards the development of advanced algorithms for online calibration monitoring. The objective of this research is to develop the next generation of online monitoring technologies for sensor calibration interval extension and signal validation in operating and new reactors. These advances are expected to improve the safety and reliability of current and planned nuclear power systems as a result of higher accuracies and increased reliability of sensors used to monitor key parameters. The focus of this report is on documenting the outcomes of the first phase of R & D under this project, which addressed approaches to uncertainty quantification (UQ) in online monitoring that are data-driven, and can therefore adjust estimates of uncertainty as measurement conditions change. Such data-driven approaches to UQ are necessary to address changing plant conditions, for example, as nuclear power plants experience transients, or as next-generation small modular reactors (SMR) operate in load-following conditions.
A Review of Sensor Calibration Monitoring for Calibration Interval Extension in Nuclear Power Plants
Author: Uncertainty Quantification for Safety Verification Applications in Nuclear Power Plants
Author: Emmanuel BoafoPublisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
There is an increasing interest in computational reactor safety analysis to systematically replace the conservative calculations by best estimate calculations augmented by quantitative uncertainty analysis methods. This has been necessitated by recent regulatory requirements that have permitted the use of such methods in reactor safety analysis. Stochastic uncertainty quantification methods have shown great promise, as they are better suited to capture the complexities in real engineering problems. This study proposes a framework for performing uncertainty quantification based on the stochastic approach, which can be applied to enhance safety analysis. Additionally, risk level has increased with the degradation of Nuclear Power Plant (NPP) equipment and instrumentation. In order to achieve NPP safety, it is important to continuously evaluate risk for all potential hazards and fault propagation scenarios and map protection layers to fault / failure / hazard propagation scenarios to be able to evaluate and verify safety level during NPP operation. In this study, the Fault Semantic Network (FSN) methodology is proposed. This involved the development of static and dynamic fault semantic network (FSN) to model possible fault propagation scenarios and the interrelationships among associated process variables. The proposed method was demonstrated by its application to two selected case studies. The use of FSN is essential for fault detection, understanding fault propagation scenarios and to aid in the prevention of catastrophic events. Two transient scenarios were simulated with a best estimate thermal hydraulic code, CATHENA. Stochastic uncertainty quantification and sensitivity analyses were performed using the OPENCOSSAN software which is based on the Monte Carlo method. The effect of uncertainty in input parameters were investigated by analyzing the probability distribution of output parameters. The first four moments (mean, variance, skewness and kurtosis) of the output parameters were computed and analyzed. The uncertainty in output pressure was 0.61% and 0.57% was found for the mass flow rate in the Edward's blowdown transient. An uncertainty of 0.087% was obtained for output pressure and 0.048% for fuel pin temperature in the RD-14 test case. These results are expected to be useful for providing insight into safety margins related to safety analysis and verification.
Uncertainty quantification in nuclear physics
Author: Maria PiarulliPublisher: Frontiers Media SA
ISBN: 2832532098
Category : Science
Languages : en
Pages : 233
Book Description
Uncertainty Quantification and Model Calibration
Author: Jan Peter HesslingPublisher: BoD – Books on Demand
ISBN: 9535132792
Category : Computers
Languages : en
Pages : 228
Book Description
Uncertainty quantification may appear daunting for practitioners due to its inherent complexity but can be intriguing and rewarding for anyone with mathematical ambitions and genuine concern for modeling quality. Uncertainty quantification is what remains to be done when too much credibility has been invested in deterministic analyses and unwarranted assumptions. Model calibration describes the inverse operation targeting optimal prediction and refers to inference of best uncertain model estimates from experimental calibration data. The limited applicability of most state-of-the-art approaches to many of the large and complex calculations made today makes uncertainty quantification and model calibration major topics open for debate, with rapidly growing interest from both science and technology, addressing subtle questions such as credible predictions of climate heating.
Uncertainty Analysis of Inertial Model Attitude Sensor Calibration and Application with a Recommended New Calibration Method
Author: John S. TrippPublisher:
ISBN:
Category : Calibration
Languages : en
Pages : 134
Book Description
Statistical tools, previously developed for nonlinear least-squares estimation of multivariate sensor calibration parameters and the associated calibration uncertainty analysis, have been applied to single- and multiple-axis inertial model attitude sensors used in wind tunnel testing to measure angle of attack and roll angle. The analysis provides confidence and prediction intervals of calibrated sensor measurement uncertainty as functions of applied input pitch and roll angles. A comparative performance study of various experimental designs for inertial sensor calibration is presented along with corroborating experimental data. The importance of replicated calibrations over extended time periods has been emphasized; replication provides independent estimates of calibration precision and bias uncertainties, statistical tests for calibrations or modeling bias uncertainty, and statistical tests for sensor paremeter drift over time. A set of recommendations for a new standardized model attitude sensor calibration method and usage procedures is included. The statistical information provided by these procedures is necessary for the uncertainty analysis of aerospace test results now required by industrial users of wind tunnel test facilities.
Recommended Practice
Author: Clair L. WyattPublisher: U.S. Government Printing Office
ISBN:
Category : Science
Languages : en
Pages : 132
Book Description
Uncertainty Quantification
Author: Ralph C. SmithPublisher: SIAM
ISBN: 1611973228
Category : Computers
Languages : en
Pages : 400
Book Description
The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models that require quantified uncertainties for large-scale applications, novel algorithm development, and new computational architectures that facilitate implementation of these algorithms. Uncertainty Quantification: Theory, Implementation, and Applications provides readers with the basic concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models arising in a broad range of disciplines. The book begins with a detailed discussion of applications where uncertainty quantification is critical for both scientific understanding and policy. It then covers concepts from probability and statistics, parameter selection techniques, frequentist and Bayesian model calibration, propagation of uncertainties, quantification of model discrepancy, surrogate model construction, and local and global sensitivity analysis. The author maintains a complementary web page where readers can find data used in the exercises and other supplementary material.
Radiometric Calibration: Theory and Methods
Author: Clair WyattPublisher: Elsevier
ISBN: 0323160093
Category : Technology & Engineering
Languages : en
Pages : 215
Book Description
Radiometric Calibration: Theory and Methods contains an engineering development of the theories and methods of radiometric calibration. This book is organized into 18 chapters. Chapters I to V present an introduction to nomenclature, radiation geometry, and blackbody radiation that serves to simplify the discussion of the calibration theory. The rest of the chapters provide the theory of sensor calibration, reviewing numerous examples in which laboratory equipment and specific techniques are described. Algorithms are also covered for digital computer processing as appropriate for each functional aspect of sensor characterization. This publication is intended for engineers and applied physicists concerned with sensor calibration and the interpretation of sensor data.