Predictive Maintenance In Dynamic Systems
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Predictive Maintenance In Dynamic Systems
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Author : Edwin Lughofer
language : en
Publisher:
Release Date : 2019
Predictive Maintenance In Dynamic Systems written by Edwin Lughofer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Electronic books categories.
This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry 4.0 and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet of Things. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power. .
Predictive Maintenance In Dynamic Systems
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Author : Edwin Lughofer
language : en
Publisher: Springer
Release Date : 2019-02-28
Predictive Maintenance In Dynamic Systems written by Edwin Lughofer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Technology & Engineering categories.
This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry 4.0 and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet of Things. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power.
From Prognostics And Health Systems Management To Predictive Maintenance 2
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Author : Brigitte Chebel-Morello
language : en
Publisher: John Wiley & Sons
Release Date : 2017-07-17
From Prognostics And Health Systems Management To Predictive Maintenance 2 written by Brigitte Chebel-Morello and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-17 with Technology & Engineering categories.
This book is the second volume in a set of books dealing with the evolution of technology, IT and organizational approaches and what this means for industrial equipment. The authors address this increasing complexity in two parts, focusing specifically on the field of Prognostics and Health Management (PHM). Having tackled the PHM cycle in the first volume, the purpose of this book is to tackle the other phases of PHM, including the traceability of data, information and knowledge, and the ability to make decisions accordingly. The book concludes with a summary analysis and perspectives regarding this emerging domain, since without traceability, knowledge and decision, any prediction of the health state of a system cannot be exploited.
An Introduction To Predictive Maintenance
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Author : R. Keith Mobley
language : en
Publisher: Elsevier
Release Date : 2002-10-24
An Introduction To Predictive Maintenance written by R. Keith Mobley and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-10-24 with Science categories.
This second edition of An Introduction to Predictive Maintenance helps plant, process, maintenance and reliability managers and engineers to develop and implement a comprehensive maintenance management program, providing proven strategies for regularly monitoring critical process equipment and systems, predicting machine failures, and scheduling maintenance accordingly. Since the publication of the first edition in 1990, there have been many changes in both technology and methodology, including financial implications, the role of a maintenance organization, predictive maintenance techniques, various analyses, and maintenance of the program itself. This revision includes a complete update of the applicable chapters from the first edition as well as six additional chapters outlining the most recent information available. Having already been implemented and maintained successfully in hundreds of manufacturing and process plants worldwide, the practices detailed in this second edition of An Introduction to Predictive Maintenance will save plants and corporations, as well as U.S. industry as a whole, billions of dollars by minimizing unexpected equipment failures and its resultant high maintenance cost while increasing productivity. A comprehensive introduction to a system of monitoring critical industrial equipment Optimize the availability of process machinery and greatly reduce the cost of maintenance Provides the means to improve product quality, productivity and profitability of manufacturing and production plants
From Prognostics And Health Systems Management To Predictive Maintenance 1
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Author : Rafael Gouriveau
language : en
Publisher: John Wiley & Sons
Release Date : 2016-10-14
From Prognostics And Health Systems Management To Predictive Maintenance 1 written by Rafael Gouriveau and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-14 with Technology & Engineering categories.
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.
New Decision Support Methods For Dynamic Predictive Maintenance Based On Data Science And Multi Objective Optimization
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Author : Behnam Einabadi
language : en
Publisher:
Release Date : 2023
New Decision Support Methods For Dynamic Predictive Maintenance Based On Data Science And Multi Objective Optimization written by Behnam Einabadi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
In recent years, predictive maintenance (PdM) has gained significant attention in both industry and academia due to the utilization of real-time data from Industry 4.0, enabling equipment health monitoring and remaining useful life (RUL) estimation. However, studies often focus on failure prediction while neglecting decision-making and maintenance planning. Additionally, not all equipment can be maintained solely through PdM, necessitating the integration of preventive maintenance (PvM). This thesis proposes novel approaches for PdM and PvM using data science and mathematical optimization. It addresses key questions, including estimating equipment health and RUL, and incorporating data into decision-making and maintenance planning. A comprehensive Predictive Maintenance Management System (PdMMS) approach is introduced, covering criticality analysis, appropriate maintenance strategies, data acquisition, monitoring systems, health monitoring, RUL estimation, and overall maintenance planning. Several methods and algorithms are developed and applied at the FPT Powertrain Technologies Bourbon-Lancy (FPT-BLY) plant. An innovative approach for identifying maintenance strategies is presented, utilizing multi-criteria decision-making, ABC analysis, sensitivity analysis, and optimal frequency identification. This approach successfully identifies critical equipment, reducing emergency purchases. Relevant maintenance indicators and visualization dashboards are proposed for monitoring and improvement. For equipment health monitoring and RUL estimation, a health indicator (HI) method and a dynamic algorithm are developed and applied to a conveyer chain painting system. Results demonstrate dynamic estimation based on real-time data. Simultaneous PdM and PvM planning is addressed through a mathematical optimization model, considering direct (intervention costs) and indirect costs (expected failure risk costs, unused life losses) while accounting for opportunistic grouping of maintenance interventions. Integrating RUL information into maintenance planning yields optimal results, as validated by a sensitivity analysis indicating reduced long-term costs. The thesis discusses challenges of implementing the proposed PdMMS approach in other companies, provides managerial insights, and outlines future research directions.
Computer Aided Maintenance
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Author : Jay Lee
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Computer Aided Maintenance written by Jay Lee and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
In today's business environment, reliability and maintenance drastically affect the three key elements of competitiveness - quality, cost, and product lead time. Well-maintained machines hold tolerances better, help reduce scrap and rework, and raise consistency and quality of the part in addition to cutting total production costs. Today, many factories are still performing maintenance on equipment in a reactive manner due to a lack of understanding about machine performance behaviour. To improve production efficiency, computer-aided maintenance and diagnostic methodology must be applied effectively in manufacturing. This book focuses on the fundamental principles of predictive maintenance and diagnostic engineering. In addition to covering the relevant theory, techniques and methodologies in maintenance engineering, the book also provides numerous case studies and examples illustrating the successful application of the principles and techniques outlined.
Encyclopedia Of Data Science And Machine Learning
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2023-01-20
Encyclopedia Of Data Science And Machine Learning written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Social Engineering In Cybersecurity
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Author : Gururaj H L
language : en
Publisher: CRC Press
Release Date : 2024-06-28
Social Engineering In Cybersecurity written by Gururaj H L and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Computers categories.
In today’s digitally interconnected world, the threat landscape has evolved to include not just sophisticated technical exploits but also the art of human manipulation. Social engineering attacks have emerged as a formidable and often underestimated threat to information security. The primary aim of this textbook is to provide a comprehensive and in-depth exploration of social engineering attacks. The book seeks to equip cybersecurity professionals, IT practitioners, students, and anyone concerned with information security with the knowledge and tools needed to recognize, prevent, and mitigate the risks posed by social engineering. The scope of this textbook is broad and multifaceted. It covers a wide range of social engineering attack vectors, including phishing, vishing, pretexting, baiting, tailgating, impersonation, and more. Each attack vector is dissected, with detailed explanations of how they work, real-world examples, and countermeasures. Key Features • Comprehensive Coverage: Thorough exploration of various social engineering attack vectors, including phishing, vishing, pretexting, baiting, quid pro quo, tailgating, impersonation, and more. • Psychological Insights: In-depth examination of the psychological principles and cognitive biases that underlie social engineering tactics. • Real-World Case Studies: Analysis of real-world examples and high-profile social engineering incidents to illustrate concepts and techniques. • Prevention and Mitigation: Practical guidance on how to recognize, prevent, and mitigate social engineering attacks, including security best practices. • Ethical Considerations: Discussion of ethical dilemmas and legal aspects related to social engineering that emphasizes responsible use of knowledge. This comprehensive textbook on social engineering attacks provides a deep and practical exploration of this increasingly prevalent threat in cybersecurity. It covers a wide array of attack vectors, including phishing, vishing, pretexting, and more, offering readers an in-depth understanding of how these attacks work. The book delves into the psychology behind social engineering and examines the cognitive biases and emotional triggers that make individuals susceptible. Real-world case studies illustrate concepts and techniques while practical guidance equips readers with the knowledge to recognize, prevent, and mitigate social engineering threats.
15th Wceam Proceedings
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Author : João Onofre Pereira Pinto
language : en
Publisher: Springer Nature
Release Date : 2022-03-24
15th Wceam Proceedings written by João Onofre Pereira Pinto and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-24 with Technology & Engineering categories.
This book gathers selected peer-reviewed papers from the 15th World Congress on Engineering Asset Management (WCEAM), which was hosted by The Federal University of Mato Grosso do Sul Campo Grande, Brazil, from 15–-18 August 2021 This book covers a wide range of topics in engineering asset management, including: strategy and standards; sustainability and resiliency; servitisation and Industry 4.0 business models; asset information systems; and asset management decision-making. The breadth and depth of these state-of-the-art, comprehensive proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students.