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Predictive Based Monitoring of Nuclear Plant Component Degradation Using Support Vector Regression

Predictive Based Monitoring of Nuclear Plant Component Degradation Using Support Vector Regression PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 11

Book Description
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 demanding task. In this paper a framework based on Support Vector Regression (SVR) for online surveillance of critical parameter degradation of NPP components is proposed. In this case, on time replacement or maintenance of components will prevent potential plant malfunctions, and reduce the overall operational cost. In the current work, we apply SVR equipped with a Gaussian kernel function to monitor components. Monitoring includes the one-step-ahead prediction of the component's respective operational quantity using the SVR model, while the SVR model is trained using a set of previous recorded degradation histories of similar components. Predictive capability of the model is evaluated upon arrival of a sensor measurement, which is compared to the component failure threshold. A maintenance decision is based on a fuzzy inference system that utilizes three parameters: (i) prediction evaluation in the previous steps, (ii) predicted value of the current step, (iii) and difference of current predicted value with components failure thresholds. The proposed framework will be tested on turbine blade degradation data.

Predictive Based Monitoring of Nuclear Plant Component Degradation Using Support Vector Regression

Predictive Based Monitoring of Nuclear Plant Component Degradation Using Support Vector Regression PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 11

Book Description
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 demanding task. In this paper a framework based on Support Vector Regression (SVR) for online surveillance of critical parameter degradation of NPP components is proposed. In this case, on time replacement or maintenance of components will prevent potential plant malfunctions, and reduce the overall operational cost. In the current work, we apply SVR equipped with a Gaussian kernel function to monitor components. Monitoring includes the one-step-ahead prediction of the component's respective operational quantity using the SVR model, while the SVR model is trained using a set of previous recorded degradation histories of similar components. Predictive capability of the model is evaluated upon arrival of a sensor measurement, which is compared to the component failure threshold. A maintenance decision is based on a fuzzy inference system that utilizes three parameters: (i) prediction evaluation in the previous steps, (ii) predicted value of the current step, (iii) and difference of current predicted value with components failure thresholds. The proposed framework will be tested on turbine blade degradation data.

Data-driven Sensor Recalibration and Fault Diagnosis in Nuclear Power Plants

Data-driven Sensor Recalibration and Fault Diagnosis in Nuclear Power Plants PDF Author: Wenqing Yao
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
This dissertation explores techniques for online monitoring of nuclear power plants, especially pressurized water reactor (PWR) plants, which must have the capabilities to examine and diagnose the health of instrumentation and component, recalibrate faulty sensor measurements, and send maintenance request to the control room. Such techniques will enhance the functionality and reliability of the control and monitoring system and reduce the instrumentation maintenance labor requirement and cost.Two data-driven methods are introduced for sensor recalibration. The first method is recursive adaptive filtering that estimates the plant state parameters from a set of redundant sensor measurements. It corrects the redundant measurements based on the principle of best linear least-squares estimation and also detects and isolates anomalous measurements by adjusting their weights, in real time, based on a sequential log likelihood ratio test of sensor data. The second method is autoregressive support vector regression that is a virtual sensing technique; it predicts unknown measurements without the sensor redundancy. A support vector machine is built by learning from historical time series measurements and uses measurements from other sensors from previous time instants to estimate the current unknown. The feasibility of both approaches is validated with simulation and experimental data for PWR applications.From these perspectives, an online monitoring scheme is proposed to expand the monitoring capabilities for prognosis of sensor and component degradation. A symbolic dynamics modeling method is used to extract statistical features of time series data at the fast time scale and detect sensor and component degradation when the measurements have not shown observable anomalies at a slow time scale. The extracted features have been shown to produce distinguishable patterns between normal and faulty temperature sensor measurements. This dissertation contains detailed descriptions of the proposed algorithms, theoretical evaluations, pertinent results, and an outlook of how the research will be applied in real plants.

Statistical Modeling for Degradation Data

Statistical Modeling for Degradation Data PDF Author: Ding-Geng (Din) Chen
Publisher: Springer
ISBN: 9811051941
Category : Mathematics
Languages : en
Pages : 382

Book Description
This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering.

International Journal of Prognostics and Health Management Volume 3 (color)

International Journal of Prognostics and Health Management Volume 3 (color) PDF Author: PHM Society
Publisher: Lulu.com
ISBN: 1936263122
Category : Technology & Engineering
Languages : en
Pages : 127

Book Description
PHM Society established International Journal of Prognostics and Health Management (IJPHM) in 2009 to facilitate archival publication of peer-reviewed results from research and development in the area of PHM. As a journal solely dedicated to the emerging field of PHM IJPHM is the first of its kind and has been a focal point for dissemination of peer-reviewed PHM knowledge. While for the first few years the journal maintained only an online presence, the printed volumes will now be available and can be obtained upon request.

Proceedings of the First Symposium on Aviation Maintenance and Management-Volume II

Proceedings of the First Symposium on Aviation Maintenance and Management-Volume II PDF Author: Jinsong Wang
Publisher: Springer Science & Business Media
ISBN: 3642542336
Category : Technology & Engineering
Languages : en
Pages : 693

Book Description
Proceedings of the First Symposium on Aviation Maintenance and Management collects selected papers from the conference of ISAMM 2013 in China held in Xi’an on November 25-28, 2013. The book presents state-of-the-art studies on the aviation maintenance, test, fault diagnosis, and prognosis for the aircraft electronic and electrical systems. The selected works can help promote the development of the maintenance and test technology for the aircraft complex systems. Researchers and engineers in the fields of electrical engineering and aerospace engineering can benefit from the book. Jinsong Wang is a professor at School of Mechanical and Electronic Engineering of Northwestern Polytechnical University, China.

From Prognostics and Health Systems Management to Predictive Maintenance 1

From Prognostics and Health Systems Management to Predictive Maintenance 1 PDF Author: Rafael Gouriveau
Publisher: John Wiley & Sons
ISBN: 1119371066
Category : Technology & Engineering
Languages : en
Pages : 164

Book Description
This book addresses the steps needed to monitor health assessment systems and the anticipation of their failures: choice and location of sensors, data acquisition and processing, health assessment and prediction of the duration of residual useful life. The digital revolution and mechatronics foreshadowed the advent of the 4.0 industry where equipment has the ability to communicate. The ubiquity of sensors (300,000 sensors in the new generations of aircraft) produces a flood of data requiring us to give meaning to information and leads to the need for efficient processing and a relevant interpretation. The process of traceability and capitalization of data is a key element in the context of the evolution of the maintenance towards predictive strategies.

Proceedings of the 4th International Seminar on Science and Technology (ISST 2022)

Proceedings of the 4th International Seminar on Science and Technology (ISST 2022) PDF Author: Nov Irmawati Inda
Publisher: Springer Nature
ISBN: 9464632283
Category : Mathematics
Languages : en
Pages : 396

Book Description
This is an open access book. ISST is an annual seminar organized regularly by Faculty of Mathematics and Natural Sciences, Tadulako University since 2018 in collaboration with University of Newcastle (Australia), University of Miyazaki (UoM), Physics Society of Indonesia, Indonesian Chemical Society (HKI) and Indonesian Mathematical Society (IndoMS). International seminar on science and technology aims to provide a high-level international forum for leading academicians, researchers, scientists, students, scholars, and practitioners to share the state of the art of knowledges, experiences, researches and applications on the aspect of advancement in Mathematics, Physics and Chemistry field. It is also serves to foster communication among academicians, researchers, scientists, students, scholars, and practitioners working in a wide variety of scientific areas with a common interest in improving science and technology in the field of mathematics, physics, and chemistry. Furthermore, this seminar can provide a premier interdisciplinary platform for academicians, researchers, scientists, students, scholars, and practitioners to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Mathematics, Physics and Chemistry. This seminar has been virtually held since 2020 due to covid-19 pandemic and is continuing to hold virtually following the advice and guidelines from government. However, due to the antusiasm of participants to attend the seminar “face to face”, hence this seminar will be held using hybrid style seminar by following healthcare guideline for covid-19.

Computer Science And Engineering Technology (Cset2015), Medical Science And Biological Engineering (Msbe2015) - Proceedings Of The 2015 International Conference On Cset & Msbe

Computer Science And Engineering Technology (Cset2015), Medical Science And Biological Engineering (Msbe2015) - Proceedings Of The 2015 International Conference On Cset & Msbe PDF Author: Qingjun Liu
Publisher: World Scientific
ISBN: 9814651028
Category : Technology & Engineering
Languages : en
Pages : 777

Book Description
This book brings together 106 papers presented at the Joint Conferences of 2015 International Conference on Computer Science and Engineering Technology (CSET2015) and 2015 International Conference on Medical Science and Biological Engineering (MSBE2015), which were held in Hong Kong on 30-31 May 2015.The joint conferences covered a wide range of research topics in new emerging technologies, ranging from computing to biomedical engineering. During the conferences, industry professionals, scholars and government agencies around the world gathered to share their latest research results and discuss the practical challenges they encountered. Their research articles were reviewed and selected by a panel of experts before being compiled into this proceedings. Combining research findings and industry applications, this proceedings should be a useful reference for researchers and engineers working in computing and biomedical science.

COMPUTER SCIENCE and ENGINEERING TECHNOLOGY (CSET2015), MEDICAL SCIENCE and BIOLOGICAL ENGINEERING (MSBE2015) - PROCEEDINGS of the 2015 INTERNATIONAL CONFERENCE on CSET and MSBE

COMPUTER SCIENCE and ENGINEERING TECHNOLOGY (CSET2015), MEDICAL SCIENCE and BIOLOGICAL ENGINEERING (MSBE2015) - PROCEEDINGS of the 2015 INTERNATIONAL CONFERENCE on CSET and MSBE PDF Author: Qingjun E. T. Al LIU
Publisher: World Scientific
ISBN: 981465101X
Category : Technology & Engineering
Languages : en
Pages : 777

Book Description
This book brings together 106 papers presented at the Joint Conferences of 2015 International Conference on Computer Science and Engineering Technology (CSET2015) and 2015 International Conference on Medical Science and Biological Engineering (MSBE2015), which were held in Hong Kong on 30-31 May 2015.The joint conferences covered a wide range of research topics in new emerging technologies, ranging from computing to biomedical engineering. During the conferences, industry professionals, scholars and government agencies around the world gathered to share their latest research results and discuss the practical challenges they encountered. Their research articles were reviewed and selected by a panel of experts before being compiled into this proceedings. Combining research findings and industry applications, this proceedings should be a useful reference for researchers and engineers working in computing and biomedical science.

Advances in Theoretical and Computational Energy Optimization Processes

Advances in Theoretical and Computational Energy Optimization Processes PDF Author: Ferdinando Salata
Publisher: MDPI
ISBN: 3039366386
Category : Technology & Engineering
Languages : en
Pages : 422

Book Description
The paradigm in the design of all human activity that requires energy for its development must change from the past. We must change the processes of product manufacturing and functional services. This is necessary in order to mitigate the ecological footprint of man on the Earth, which cannot be considered as a resource with infinite capacities. To do this, every single process must be analyzed and modified, with the aim of decarbonising each production sector. This collection of articles has been assembled to provide ideas and new broad-spectrum contributions for these purposes.