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Predictive Maintenance in Smart Factories, Cerquitelli


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Цена: 60550.00T
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Автор: Cerquitelli
Название:  Predictive Maintenance in Smart Factories
ISBN: 9789811629426
Издательство: Springer
Классификация:



ISBN-10: 9811629420
Обложка/Формат: Soft cover
Страницы: 234
Вес: 0.39 кг.
Дата издания: 11.09.2022
Серия: Information Fusion and Data Science
Язык: English
Иллюстрации: XIV, 234 p. 117 illus., 108 illus. in color.
Читательская аудитория: Professionals
Основная тема: Physics
Подзаголовок: Architectures, Methodologies, and Use-cases
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book presents the outcome of the European project SERENA, involving fourteen partners as international academics, technological companies, and industrial factories, addressing the design and development of a plug-n-play end-to-end cloud architecture, and enabling predictive maintenance of industrial equipment to be easily exploitable by small and medium manufacturing companies with a very limited data analytics experience. Perspectives and new opportunities to address open issues on predictive maintenance conclude the book with some interesting suggestions of future research directions to continue the growth of the manufacturing intelligence.
Дополнительное описание: 1. Industrial digitisation and maintenance: Present and Future.- 2. A hybrid cloud-to-edge predictive maintenance platform.- 3. Data-driven predictive maintenance: a methodology primer.- 4. Services to facilitate predictive maintenance in Industry4.0.- 5.


Автор: Chandan Deep Singh, Harleen Kaur
Название: Factories of the Future: Technological Advancements in the Manufacturing Industry
ISBN: 1119864941 ISBN-13(EAN): 9781119864943
Издательство: Wiley
Рейтинг:
Цена: 194250.00 T
Наличие на складе: Поставка под заказ.
Описание: FACTORIES OF THE FUTURE The book provides insight into various technologies adopted and to be adopted in the future by industries and measures the impact of these technologies on manufacturing performance and their sustainability. Businesses and manufacturers face a slew of demands beyond the usual issues of staying agile and surviving in a competitive landscape within a rapidly changing world. Factories of the Future deftly takes the reader through the continuous technology changes and looks ten years down the road at what manufacturing will mostly look like.

The book is divided into two parts: Emerging technologies and advancements in existing technologies. Emerging technologies consist of Industry 4.0 and 5.0 themes, machine learning, intelligent machining, advanced maintenance, reliability, and green manufacturing. The advances of existing technologies consist of digital manufacturing, artificial intelligence in machine learning, Internet of Things, product life cycle, and the impact of factories on the future of manufacturing performance of the manufacturing industries.

Readers will find in this illuminating book: A comprehensive discussion of almost all emerging technologies, including "green" manufacturing;An overview of the social, economic, and technical aspects of these technologies;An explanation of these technological advancements on manufacturing performance, through case studies and other analytical tools.


Photovoltaic Systems: Artificial Intelligence-based Fault Diagnosis and Predictive Maintenance

Автор: Sundaram K. Mohana, Padmanaban Sanjeevikumar, Holm-Nielsen Jens Bo
Название: Photovoltaic Systems: Artificial Intelligence-based Fault Diagnosis and Predictive Maintenance
ISBN: 1032064269 ISBN-13(EAN): 9781032064260
Издательство: Taylor&Francis
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Цена: 117390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gives comprehensive insight to the fault detection techniques implemented for photovoltaic panels including predictive maintenance needed to improve the performance of solar PV systems using Artificial Intelligence techniques. It explains fault identification algorithms and their significance in real-time power system applications.

Smart Maintenance for Human–Robot Interaction

Автор: Bo Xing; Tshilidzi Marwala
Название: Smart Maintenance for Human–Robot Interaction
ISBN: 331967479X ISBN-13(EAN): 9783319674797
Издательство: Springer
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Цена: 149060.00 T
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Описание: This self-contained book, written by active researchers, presents up-to-date information on smart maintenance strategies for human–robot interaction (HRI) and the associated applications of novel search algorithms in a single volume, eliminating the need to consult scattered resources. Unlike other books, it addresses maintaining a smart HRI from three dimensions, namely, hardware, cyberware, and hybrid-asset management, covering problems encountered in each through a wide variety of representative examples and elaborated illustrations. Further, the diverse mathematical models and intelligent systems constructions make the book highly practical. It enables readers interested in maintenance, robotics, and intelligent systems but perplexed by myriads of interrelated issues to grasp basic methodologies. At the same time, the referenced literature can be used as a roadmap for conducting deeper researches.

CAD/CAM Robotics and Factories of the Future

Автор: Birendra Prasad
Название: CAD/CAM Robotics and Factories of the Future
ISBN: 3642523226 ISBN-13(EAN): 9783642523229
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The total integration of the process of designing, manufacturing, and supporting a product from the earliest conceptual phase to the time it is removed from service remains an unfulfilled dream.

Predictive safety analytics

Автор: Stevens, Robert
Название: Predictive safety analytics
ISBN: 1032424389 ISBN-13(EAN): 9781032424385
Издательство: Taylor&Francis
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Цена: 56130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Nearly all our safety data collection and reporting systems are backwardlooking: incident reports; dashboards; compliance monitoring systems; and so on. This book shows how we can use safety data in a forward-looking, predictive sense.Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning contains real use cases where organizations have reduced incidents by employing predictive analytics to foresee and mitigate future risks. It discusses how Predictive Safety Analytics is an opportunity to break through the plateau problem where safety rate improvements have stagnated in many organizations. The book presents how the use of data, coupled with advanced analytical techniques, including machine learning, has become a proven and successful innovation. Emphasis is placed on how the book can “meet you where you are” by illuminating a path to get there, starting with simple data the organization likely already has. Highlights of the book are the real examples and case studies that will assist in generating thoughts and ideas for what might work for individual readers and how they can adapt the information to their particular situations.This book is written for professionals and researchers in system reliability, risk and safety assessment, quality control, operational managers in selected industries, data scientists, and ML engineers. Students taking courses in these areas will also find this book of interest to them.

Predictive Maintenance in Smart Factories: Architectures, Methodologies, and Use-Cases

Автор: Cerquitelli Tania, Nikolakis Nikolaos, O`Mahony Niamh
Название: Predictive Maintenance in Smart Factories: Architectures, Methodologies, and Use-Cases
ISBN: 9811629390 ISBN-13(EAN): 9789811629396
Издательство: Springer
Рейтинг:
Цена: 60550.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I Methodologies and Enabling TechnologiesIndustrial digitisation and maintenance: Present and Future
A hybrid cloud-to-edge predictive maintenance platform
Data-driven predictive maintenance: a methodology primer
Services to facilitate predictive maintenance in Industry4.0
Part II Industrial use-cases
Predictive analytics in robotic industry
Remote condition monitoring and control for maintenance activities
Estimating remaining useful life: a data-driven methodology for the white goods industryPredictive analytics in the production of elevators
Predictive maintenance in the production of steel bars: a data-driven approachIn-situ Monitoring of Additive Manufacturing
Glossary

Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications

Автор: Lughofer Edwin, Sayed-Mouchaweh Moamar
Название: Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications
ISBN: 3030056449 ISBN-13(EAN): 9783030056445
Издательство: Springer
Рейтинг:
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.

Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities

Автор: Butun Ismail
Название: Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities
ISBN: 1799874680 ISBN-13(EAN): 9781799874683
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 260570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Internet of things (IoT) is an emerging research field that is rapidly becoming an important part of our everyday lives including home automation, smart buildings, smart things, and more. This is due to cheap, efficient, and wirelessly-enabled circuit boards that are enabling the functions of remote sensing/actuating, decentralization, autonomy, and other essential functions. Moreover, with the advancements in embedded artificial intelligence, these devices are becoming more self-aware and autonomous, hence making decisions themselves. Current research is devoted to the understanding of how decision support systems are integrated into industrial IoT.

Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities presents the internet of things and its place during the technological revolution, which is taking place now to bring us a better, sustainable, automated, and safer world. This book also covers the challenges being faced such as relations and implications of IoT with existing communication and networking technologies; applications like practical use-case scenarios from the real world including smart cities, buildings, and grids; and topics such as cyber security, user privacy, data ownership, and information handling related to IoT networks. Additionally, this book focuses on the future applications, trends, and potential benefits of this new discipline. This book is essential for electrical engineers, computer engineers, researchers in IoT, security, and smart cities, along with practitioners, researchers, academicians, and students interested in all aspects of industrial IoT and its applications.

Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities

Автор: Butun Ismail
Название: Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities
ISBN: 1799874699 ISBN-13(EAN): 9781799874690
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 196810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Internet of things (IoT) is an emerging research field that is rapidly becoming an important part of our everyday lives including home automation, smart buildings, smart things, and more. This is due to cheap, efficient, and wirelessly-enabled circuit boards that are enabling the functions of remote sensing/actuating, decentralization, autonomy, and other essential functions. Moreover, with the advancements in embedded artificial intelligence, these devices are becoming more self-aware and autonomous, hence making decisions themselves. Current research is devoted to the understanding of how decision support systems are integrated into industrial IoT.

Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities presents the internet of things and its place during the technological revolution, which is taking place now to bring us a better, sustainable, automated, and safer world. This book also covers the challenges being faced such as relations and implications of IoT with existing communication and networking technologies; applications like practical use-case scenarios from the real world including smart cities, buildings, and grids; and topics such as cyber security, user privacy, data ownership, and information handling related to IoT networks. Additionally, this book focuses on the future applications, trends, and potential benefits of this new discipline. This book is essential for electrical engineers, computer engineers, researchers in IoT, security, and smart cities, along with practitioners, researchers, academicians, and students interested in all aspects of industrial IoT and its applications.

CAD/CAM Robotics and Factories of the Future

Автор: Birendra Prasad
Название: CAD/CAM Robotics and Factories of the Future
ISBN: 3642523250 ISBN-13(EAN): 9783642523250
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is about automation - automation in design, automation in manufacturing, and automation in production. We choose to call such automation, knowledge-based automation or heuristic programming.

CAD/CAM Robotics and Factories of the Future

Автор: Birendra Prasad; S. N. Dwivedi; R. Mahajan
Название: CAD/CAM Robotics and Factories of the Future
ISBN: 3662389940 ISBN-13(EAN): 9783662389942
Издательство: Springer
Рейтинг:
Цена: 81050.00 T
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Iot Streams for Data-Driven Predictive Maintenance and Iot, Edge, and Mobile for Embedded Machine Learning: Second International Workshop, Iot Streams

Автор: Gama Joao, Pashami Sepideh, Bifet Albert
Название: Iot Streams for Data-Driven Predictive Maintenance and Iot, Edge, and Mobile for Embedded Machine Learning: Second International Workshop, Iot Streams
ISBN: 3030667693 ISBN-13(EAN): 9783030667696
Издательство: Springer
Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020.


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