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Author: Robert Ross Publisher: John Wiley & Sons ISBN: 1119125170 Category : Science Languages : en Pages : 530
Book Description
A practical guide to facilitate statistically well-founded decisions in the management of assets of an electricity grid Effective and economic electric grid asset management and incident management involve many complex decisions on inspection, maintenance, repair and replacement. This timely reference provides statistically well-founded, tried and tested analysis methodologies for improved decision making and asset management strategy for optimum grid reliability and availability. The techniques described are also sufficiently robust to apply to small data sets enabling asset managers to deal with early failures or testing with limited sample sets. The book describes the background, concepts and statistical techniques to evaluate failure distributions, probabilities, remaining lifetime, similarity and compliancy of observed data with specifications, asymptotic behavior of parameter estimators, effectiveness of network configurations and stocks of spare parts. It also shows how the graphical representation and parameter estimation from analysis of data can be made consistent, as well as explaining modern upcoming methodologies such as the Health Index and Risk Index. Key features: Offers hands-on tools and techniques for data analysis, similarity index, failure forecasting, health and risk indices and the resulting maintenance strategies. End-of-chapter problems and solutions to facilitate self-study via a book companion website. The book is essential reading for advanced undergraduate and graduate students in electrical engineering, quality engineers, utilities and industry strategists, transmission and distribution system planners, asset managers and risk managers.
Author: Robert Ross Publisher: John Wiley & Sons ISBN: 1119125170 Category : Science Languages : en Pages : 530
Book Description
A practical guide to facilitate statistically well-founded decisions in the management of assets of an electricity grid Effective and economic electric grid asset management and incident management involve many complex decisions on inspection, maintenance, repair and replacement. This timely reference provides statistically well-founded, tried and tested analysis methodologies for improved decision making and asset management strategy for optimum grid reliability and availability. The techniques described are also sufficiently robust to apply to small data sets enabling asset managers to deal with early failures or testing with limited sample sets. The book describes the background, concepts and statistical techniques to evaluate failure distributions, probabilities, remaining lifetime, similarity and compliancy of observed data with specifications, asymptotic behavior of parameter estimators, effectiveness of network configurations and stocks of spare parts. It also shows how the graphical representation and parameter estimation from analysis of data can be made consistent, as well as explaining modern upcoming methodologies such as the Health Index and Risk Index. Key features: Offers hands-on tools and techniques for data analysis, similarity index, failure forecasting, health and risk indices and the resulting maintenance strategies. End-of-chapter problems and solutions to facilitate self-study via a book companion website. The book is essential reading for advanced undergraduate and graduate students in electrical engineering, quality engineers, utilities and industry strategists, transmission and distribution system planners, asset managers and risk managers.
Author: Robert D. Ross Publisher: ISBN: 9781119125204 Category : TECHNOLOGY & ENGINEERING Languages : en Pages :
Book Description
A practical guide to facilitate statistically well-founded decisions in the management of assets of an electricity grid Effective and economic electric grid asset management and incident management involve many complex decisions on inspection, maintenance, repair and replacement. This timely reference provides statistically well-founded, tried and tested analysis methodologies for improved decision making and asset management strategy for optimum grid reliability and availability. The techniques described are also sufficiently robust to apply to small data sets enabling asset managers to deal with early failures or testing with limited sample sets. The book describes the background, concepts and statistical techniques to evaluate failure distributions, probabilities, remaining lifetime, similarity and compliancy of observed data with specifications, asymptotic behavior of parameter estimators, effectiveness of network configurations and stocks of spare parts. It also shows how the graphical representation and parameter estimation from analysis of data can be made consistent, as well as explaining modern upcoming methodologies such as the Health Index and Risk Index. Key features: -Offers hands-on tools and techniques for data analysis, similarity index, failure forecasting, health and risk indices and the resulting maintenance strategies. -End-of-chapter problems and solutions to facilitate self-study via a book companion website. The book is essential reading for advanced undergraduate and graduate students in electrical engineering, quality engineers, utilities and industry strategists, transmission and distribution system planners, asset managers and risk managers.
Author: Carl Johan Wallnerström Publisher: Patrik Hilber ISBN: 9163753855 Category : Technology & Engineering Languages : en Pages : 160
Book Description
We are becoming more and more dependent on reliable distribution of electricity. The demand for cost efficiency has at the same time increased since new incentives have appeared. This book presents methods for finding a balance between the aims of high reliability and cost effectiveness. A key aspect is to evaluate the impacts of outages and the benefits of risk reducing investments. Put in a wider context, this is asset management, which can be summarized as the art of finding a balance between risk, cost and performance. This book is built on the experience of a wide number of case studies of different reliability projects and is focused on applicable tools for the reader. Basically the book gathers the most important parts of the asset management process into one place.
Author: Lina Bertling Tjernberg Publisher: CRC Press ISBN: 1351057405 Category : Technology & Engineering Languages : en Pages : 572
Book Description
Infrastructure Asset Management with Power System Applications is about infrastructure asset management, which can be expressed as the combination of management, financial, economic, and engineering, applied to physical assets with the objective of providing the required level of service in the most cost-effective manner. It includes management of the whole lifecycle of a physical asset from design, construction, commission, operation, maintenance, modification, decommissioning, and disposal. It covers budget issues and focuses on asset management of an infrastructure for energy—i.e., the electric power system. Features Offers a comprehensive reference book providing definitions, terminology, and basic theories as well as a comprehensive set of examples from a wide range of applications for the electric power system and its components. Spans a wide range of applications for the electric power system area, including real data and pictures. Contains results from recently published research and application studies. Includes a wide range of application examples for the electric power systems area from hydro, nuclear, and wind, plus shows future trends. Contributes to the overall goals of developing a sustainable energy system by providing methods and tools for a resource efficient use of physical assets in the electric power system area.
Author: Lina Bertling Tjernberg Publisher: CRC Press ISBN: 1498708684 Category : Technology & Engineering Languages : en Pages : 583
Book Description
Infrastructure Asset Management with Power System Applications is about infrastructure asset management, which can be expressed as the combination of management, financial, economic, and engineering, applied to physical assets with the objective of providing the required level of service in the most cost-effective manner. It includes management of the whole lifecycle of a physical asset from design, construction, commission, operation, maintenance, modification, decommissioning, and disposal. It covers budget issues and focuses on asset management of an infrastructure for energy—i.e., the electric power system. Features Offers a comprehensive reference book providing definitions, terminology, and basic theories as well as a comprehensive set of examples from a wide range of applications for the electric power system and its components. Spans a wide range of applications for the electric power system area, including real data and pictures. Contains results from recently published research and application studies. Includes a wide range of application examples for the electric power systems area from hydro, nuclear, and wind, plus shows future trends. Contributes to the overall goals of developing a sustainable energy system by providing methods and tools for a resource efficient use of physical assets in the electric power system area.
Author: Escola Politécnica da USP Publisher: Elsevier ISBN: 0128235225 Category : Business & Economics Languages : en Pages : 316
Book Description
Reliability Analysis and Asset Management of Engineering Systems explains methods that can be used to evaluate reliability and availability of complex systems, including simulation-based methods. The increasing digitization of mechanical processes driven by Industry 4.0 increases the interaction between machines and monitoring and control systems, leading to increases in system complexity. For those systems the reliability and availability analyses are increasingly challenging, as the interaction between machines has become more complex, and the analysis of the flexibility of the production systems to respond to machinery failure may require advanced simulation techniques. This book fills a gap on how to deal with such complex systems by linking the concepts of systems reliability and asset management, and then making these solutions more accessible to industry by explaining the availability analysis of complex systems based on simulation methods that emphasise Petri nets. - Explains how to use a monitoring database to perform important tasks including an update of complex systems reliability - Shows how to diagnose probable machinery-based causes of system performance degradation by using a monitoring database and reliability estimates in an integrated way - Describes practical techniques for the application of AI and machine learning methods to fault detection and diagnosis problems
Author: R. K. Saket Publisher: John Wiley & Sons ISBN: 1394226748 Category : Technology & Engineering Languages : en Pages : 581
Book Description
A reader-friendly introduction to reliability analysis and its power systems applications The subset of probability theory known as reliability theory analyzes the likelihood of failure in a given component or system under given conditions. It is a critical aspect of engineering as it concerns systems of all kinds, not least modern power systems, with their essential role in sustaining the technologies on which modern life relies. Reliability Analysis of Modern Power Systems is a thorough, accessible book introducing the core concepts of reliability theory as they apply to power systems engineering, as well as the advanced technologies currently driving new frontiers in reliability analysis. It is a must-own for anyone looking to understand and improve the systems that power our world. Readers will also find: Detailed discussion of reliability modeling and simulation of composite systems using Typhoon HIL 404 Reliability assessment of generation systems, transmission systems, distribution systems, and more Information on renewable energy integration for more sustainable power grids Reliability Analysis of Modern Power Systems is ideal for professionals, engineers, and researchers in power system design and reliability engineering, as well as for advanced undergraduate and graduate students in these and related subjects.
Author: Graeme Ancell Publisher: Springer Nature ISBN: 3030855147 Category : Business & Economics Languages : en Pages : 432
Book Description
This CIGRE Green Book describes the state-of-the-art of power Systems asset management dealing with all aspects asset management practice. The major focus of the book is on documenting practical methods that bridge the gap between just satisfying an asset management process and achieving real asset management results in the form of smarter investment decisions. The book facilitates collaboration and blending of the engineering and technical aspects of asset management and the financial considerations needed to support asset investment decisions using risk-based business case analysis. Detailed case studies are included to illustrate generic and specific or customized methods and to demonstrate the application of such methods from the technology perspectives of several CIGRE study committees. This practical guide is suitable for working asset managers and decision-makers (both engineering and financial) dealing with all aspects of the practice of asset management.
Author: Miguel Moreira da Silva Publisher: Springer Nature ISBN: 3030362000 Category : Technology & Engineering Languages : en Pages : 165
Book Description
This book offers meaningful insights into an impending challenge for the energy industry, namely the increasing role of asset management amongst the utilities’ core operations. In the aftermath of energy digitalization, power and gas companies will be able to seize asset productivity—through risk-based operation and maintenance—and better balance capital and operational expenditures. By addressing the asset management of both power and gas infrastructures, and by adopting a comprehensive approach—including regulation and business models, as well as a solid technology background—this book offers a unique perspective on the energy utilities’ transformation journey and the road to optimal decision-making for both asset portfolio expansion and replacement. The asset management end-to-end mission requires appropriate internal governance—depending on the business framework—and the development of decision aid models (for asset replacement and maintenance), supported on probabilistic risk and reliability indexes. This book advocates systematically digitalizing the power and gas assets, addressing both data governance and infrastructure, alongside real-time equipment condition monitoring. It also provides a meaningful methodology for designing data-centric asset management and predictive operation and maintenance, using artificial intelligence and engineering-based approaches. As such, it provides valuable strategy, methods and models—illustrated by case studies and proofs of concept—for a wide range of stakeholders, including utilities and industry professionals, regulators, policy-makers, researchers and students.
Author: Robert Ross
Author: Robert Ross
Author: Robert D. Ross
Author: Carl Johan Wallnerström
Author: Lina Bertling Tjernberg
Author: Lina Bertling Tjernberg
Author: Escola Politécnica da USP
Author: R. K. Saket
Author: Graeme Ancell
Author: Miguel Moreira da Silva
Author: Chanan Singh