Structural Prognostics and Health Management in Power & Energy Systems

Structural Prognostics and Health Management in Power & Energy Systems PDF Author: Dong Wang
Publisher: MDPI
ISBN: 3039217666
Category : Technology & Engineering
Languages : en
Pages : 216

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Book Description
The idea of preparing an Energies Special Issue on “Structural Prognostics and Health Management in Power & Energy Systems” is to compile information on the recent advances in structural prognostics and health management (SPHM). Continued improvements on SPHM have been made possible through advanced signature analysis, performance degradation assessment, as well as accurate modeling of failure mechanisms by introducing advanced mathematical approaches/tools. Through combining deterministic and probabilistic modeling techniques, research on SPHM can provide assurance for new structures at a design stage and ensure construction integrity at a fabrication phase. Specifically, power and energy system failures occur under multiple sources of uncertainty/variability resulting from load variations in usage, material properties, geometry variations within tolerances, and other uncontrolled variations. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on SPHM are desired and expected, which attempt to prevent overdesign and unnecessary inspection and provide tools to enable a balance between safety and economy to be achieved. This Special Issue has attracted submissions from China, USA, Portugal, and Italy. A total of 26 submissions were received and 11 articles finally published.

Structural Prognostics and Health Management in Power & Energy Systems

Structural Prognostics and Health Management in Power & Energy Systems PDF Author: Dong Wang
Publisher: MDPI
ISBN: 3039217666
Category : Technology & Engineering
Languages : en
Pages : 216

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Book Description
The idea of preparing an Energies Special Issue on “Structural Prognostics and Health Management in Power & Energy Systems” is to compile information on the recent advances in structural prognostics and health management (SPHM). Continued improvements on SPHM have been made possible through advanced signature analysis, performance degradation assessment, as well as accurate modeling of failure mechanisms by introducing advanced mathematical approaches/tools. Through combining deterministic and probabilistic modeling techniques, research on SPHM can provide assurance for new structures at a design stage and ensure construction integrity at a fabrication phase. Specifically, power and energy system failures occur under multiple sources of uncertainty/variability resulting from load variations in usage, material properties, geometry variations within tolerances, and other uncontrolled variations. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on SPHM are desired and expected, which attempt to prevent overdesign and unnecessary inspection and provide tools to enable a balance between safety and economy to be achieved. This Special Issue has attracted submissions from China, USA, Portugal, and Italy. A total of 26 submissions were received and 11 articles finally published.

Structural Prognostics and Health Management in Power & Energy Systems

Structural Prognostics and Health Management in Power & Energy Systems PDF Author: José A.F.O. Correia
Publisher:
ISBN: 9783039217670
Category : Philosophy (General)
Languages : en
Pages : 218

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Book Description
The idea of preparing an Energies Special Issue on “Structural Prognostics and Health Management in Power & Energy Systems” is to compile information on the recent advances in structural prognostics and health management (SPHM). Continued improvements on SPHM have been made possible through advanced signature analysis, performance degradation assessment, as well as accurate modeling of failure mechanisms by introducing advanced mathematical approaches/tools. Through combining deterministic and probabilistic modeling techniques, research on SPHM can provide assurance for new structures at a design stage and ensure construction integrity at a fabrication phase. Specifically, power and energy system failures occur under multiple sources of uncertainty/variability resulting from load variations in usage, material properties, geometry variations within tolerances, and other uncontrolled variations. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on SPHM are desired and expected, which attempt to prevent overdesign and unnecessary inspection and provide tools to enable a balance between safety and economy to be achieved. This Special Issue has attracted submissions from China, USA, Portugal, and Italy. A total of 26 submissions were received and 11 articles finally published.

Probabilistic Prognostics and Health Management of Energy Systems

Probabilistic Prognostics and Health Management of Energy Systems PDF Author: Stephen Ekwaro-Osire
Publisher: Springer
ISBN: 3319558528
Category : Technology & Engineering
Languages : en
Pages : 273

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Book Description
This book proposes the formulation of an efficient methodology that estimates energy system uncertainty and predicts Remaining Useful Life (RUL) accurately with significantly reduced RUL prediction uncertainty. Renewable and non-renewable sources of energy are being used to supply the demands of societies worldwide. These sources are mainly thermo-chemo-electro-mechanical systems that are subject to uncertainty in future loading conditions, material properties, process noise, and other design parameters.It book informs the reader of existing and new ideas that will be implemented in RUL prediction of energy systems in the future. The book provides case studies, illustrations, graphs, and charts. Its chapters consider engineering, reliability, prognostics and health management, probabilistic multibody dynamical analysis, peridynamic and finite-element modelling, computer science, and mathematics.

Integrated Vehicle Health Management

Integrated Vehicle Health Management PDF Author: Ian K Jennions
Publisher: SAE International
ISBN: 0768080746
Category : Transportation
Languages : en
Pages : 242

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Book Description
Integrated Vehicle Health Management (IVHM) is a relatively new subject, with its roots back in the space sector of the early 1990s. Although many of the papers written around that time did not refer to it as IVHM, the fundamental principles of considering an integrated end-to-end system to monitor the overall health of the asset were clearly visible. As the subject of Integrated Vehicle Health Management (IVHM) and its associated technologies have grown up, businesses are making the transformation from selling a product to selling a service. This can be viewed as a positive disruption, as a relatively small technology breakthrough is being brought to market for a large business benefit. The sequence “sense—acquire—transfer—analyze—act “ feeds the information (processed data) on the asset’s health into the Operations or Management control center. Here, decisions can be made on maintenance actions with knowledge of the supply chain status, MRO loading, etc., provided by Maintenance and Logistics systems. Undoubtedly, a much more efficient and economical modus operandi. This book brings together a collection of twenty –two SAE International Technical papers on this very theme, organized according to specific areas of interest: • Engines • Airframes • Electrical Power Systems • Supporting Systems • Architecture They were selected by Dr. Ian K. Jennions, Director of IVHM Center at Cranfield University, in the UK. Dr. Jennions was also the editor of three other books on Integrated Vehicle Health Management, published by SAE International: • IVHM: Perspectives on an Emerging Field • IVHM: Business Case Theory and Practice • IVHM: The Technology

Nuclear Power Plant Equipment Prognostics and Health Management Based on Data-driven methods

Nuclear Power Plant Equipment Prognostics and Health Management Based on Data-driven methods PDF Author: Jun Wang
Publisher: Frontiers Media SA
ISBN: 2889712990
Category : Technology & Engineering
Languages : en
Pages : 155

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Book Description


Self-powered Energy Harvesting Systems for Health Supervising Applications

Self-powered Energy Harvesting Systems for Health Supervising Applications PDF Author: Albert Álvarez-Carulla
Publisher: Springer Nature
ISBN: 9811956197
Category : Technology & Engineering
Languages : en
Pages : 131

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Book Description
This book highlights the current and recent state-of-the-art developments in energy harvesting systems for health supervising applications. It explores the exciting potential of energy harvesting as a crosscutting field of research to intersect with other areas to envisage new products, solutions, and applications. Among all these new opportunities for synergy, there is a research area that fully matches the features offered by energy harvesting with its power supply's main needs- health supervising (HS), which consists of monitoring the health or operating conditions of anything, such as structures, buildings, public health, environment, etc. The book covers the hand in hand evolution towards a new paradigm: truly self-powered devices based on a single transducer acting as a sensor and as power source simultaneously and efficiently. This evolution is illustrated by the concept and implementation of novel state-of-the-art architecture for self-powered energy harvesting systems for applications that range from structural health monitoring to point-of-care medical devices.

Prognostics and Health Management of Electronics

Prognostics and Health Management of Electronics PDF Author: Michael G. Pecht
Publisher: John Wiley & Sons
ISBN: 1119515351
Category : Technology & Engineering
Languages : en
Pages : 973

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Book Description
An indispensable guide for engineers and data scientists in design, testing, operation, manufacturing, and maintenance A road map to the current challenges and available opportunities for the research and development of Prognostics and Health Management (PHM), this important work covers all areas of electronics and explains how to: assess methods for damage estimation of components and systems due to field loading conditions assess the cost and benefits of prognostic implementations develop novel methods for in situ monitoring of products and systems in actual life-cycle conditions enable condition-based (predictive) maintenance increase system availability through an extension of maintenance cycles and/or timely repair actions; obtain knowledge of load history for future design, qualification, and root cause analysis reduce the occurrence of no fault found (NFF) subtract life-cycle costs of equipment from reduction in inspection costs, downtime, and inventory Prognostics and Health Management of Electronics also explains how to understand statistical techniques and machine learning methods used for diagnostics and prognostics. Using this valuable resource, electrical engineers, data scientists, and design engineers will be able to fully grasp the synergy between IoT, machine learning, and risk assessment.

Artificial Intelligence in Models, Methods and Applications

Artificial Intelligence in Models, Methods and Applications PDF Author: Olga Dolinina
Publisher: Springer Nature
ISBN: 303122938X
Category : Technology & Engineering
Languages : en
Pages : 694

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Book Description
This book is based on the accepted research papers presented in the International Conference "Artificial Intelligence in Engineering & Science" (AIES-2022). The aim of the AIES Conference is to bring together researchers involved in the theory of computational intelligence, knowledge engineering, fuzzy systems, soft computing, machine learning and related areas and applications in engineering, bioinformatics, industry, medicine, energy, smart city, social spheres and other areas. This book presents new perspective research results: models, methods, algorithms and applications in the field of Artificial Intelligence (AI). Particular emphasis is given to the medical applications - medical images recognition, development of the expert systems which could be interesting for the AI researchers as well for the physicians looking for the new ideas in medicine. The central audience of the book are researchers, industrial practitioners, students specialized in the Artificial Intelligence.

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

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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.

Engineering Design under Uncertainty and Health Prognostics

Engineering Design under Uncertainty and Health Prognostics PDF Author: Chao Hu
Publisher: Springer
ISBN: 3319925741
Category : Technology & Engineering
Languages : en
Pages : 350

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Book Description
This book presents state-of-the-art probabilistic methods for the reliability analysis and design of engineering products and processes. It seeks to facilitate practical application of probabilistic analysis and design by providing an authoritative, in-depth, and practical description of what probabilistic analysis and design is and how it can be implemented. The text is packed with many practical engineering examples (e.g., electric power transmission systems, aircraft power generating systems, and mechanical transmission systems) and exercise problems. It is an up-to-date, fully illustrated reference suitable for both undergraduate and graduate engineering students, researchers, and professional engineers who are interested in exploring the fundamentals, implementation, and applications of probabilistic analysis and design methods.