IoT Maintenance: Predictive Techniques for Smart Equipment

IoT Maintenance: Predictive Techniques for Smart Equipment
Author: Alex C. Techworth
Publisher: Book Lovers HQ
Total Pages: 143
Release: 2024-06-26
Genre: Technology & Engineering
ISBN:

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Discover the future of industrial maintenance with "IoT Maintenance: Predictive Techniques for Smart Equipment," a cutting-edge guide to transforming your maintenance strategies through the power of the Internet of Things (IoT). This book is an essential resource for professionals seeking to leverage IoT technology to enhance operational efficiency and reduce downtime. With a focus on predictive maintenance, this guide is tailored to revolutionize your approach to equipment management and maintenance across various industries. What You Will Find in This Book: - Insights into IoT Systems: Learn how IoT devices and sensors work synergistically to monitor equipment health and predict maintenance needs. - Predictive Maintenance Strategies: Detailed discussions on how to implement IoT-based predictive maintenance to anticipate and prevent potential failures. - Industry-Specific Applications: Explore tailor-made IoT solutions across diverse sectors including manufacturing, healthcare, agriculture, and energy. - Practical Case Studies: Real-world success stories that illustrate the profound impact of IoT on enhancing operational resilience and safety. - Technological Foundations: Understand the core technologies and infrastructure that support IoT operations, from cloud computing to data analytics. - Security and Data Management: Essential guidance on navigating the complexities of data security and privacy in IoT deployments. - Future Trends and Innovations: Look ahead at emerging IoT technologies and trends that are set to redefine maintenance practices. Embrace the technological revolution in industrial maintenance with "IoT Maintenance: Predictive Techniques for Smart Equipment" and set the stage for a more efficient, reliable, and sustainable future.

Industrial Internet of Things (IIoT)

Industrial Internet of Things (IIoT)
Author: R. Anandan
Publisher: John Wiley & Sons
Total Pages: 436
Release: 2022-03-15
Genre: Computers
ISBN: 1119768772

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INDUSTRIAL INTERNET OF THINGS (IIOT) This book discusses how the industrial internet will be augmented through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate, and secure diverse user cases at hyperscale. Since the internet of things (IoT) dominates all sectors of technology, from home to industry, automation through IoT devices is changing the processes of our daily lives. For example, more and more businesses are adopting and accepting industrial automation on a large scale, with the market for industrial robots expected to reach $73.5 billion in 2023. The primary reason for adopting IoT industrial automation in businesses is the benefits it provides, including enhanced efficiency, high accuracy, cost-effectiveness, quick process completion, low power consumption, fewer errors, and ease of control. The 15 chapters in the book showcase industrial automation through the IoT by including case studies in the areas of the IIoT, robotic and intelligent systems, and web-based applications which will be of interest to working professionals and those in education and research involved in a broad cross-section of technical disciplines. The volume will help industry leaders by Advancing hands-on experience working with industrial architecture Demonstrating the potential of cloud-based Industrial IoT platforms, analytics, and protocols Putting forward business models revitalizing the workforce with Industry 4.0. Audience Researchers and scholars in industrial engineering and manufacturing, artificial intelligence, cyber-physical systems, robotics, safety engineering, safety-critical systems, and application domain communities such as aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transports, smart cities, and smart healthcare.

Data Intensive Industrial Asset Management

Data Intensive Industrial Asset Management
Author: Farhad Balali
Publisher: Springer Nature
Total Pages: 247
Release: 2020-01-22
Genre: Technology & Engineering
ISBN: 3030359301

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This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a comprehensive study which includes the descriptive, diagnostic, predictive, and prescriptive analysis in detail. The presentation focuses on the challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the reliability and availability of the system.

Predictive Maintenance in Dynamic Systems

Predictive Maintenance in Dynamic Systems
Author: Edwin Lughofer
Publisher: Springer
Total Pages: 567
Release: 2019-02-28
Genre: Technology & Engineering
ISBN: 3030056457

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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 Smart Factories

Predictive Maintenance in Smart Factories
Author: Tania Cerquitelli
Publisher: Springer Nature
Total Pages: 239
Release: 2021-08-26
Genre: Science
ISBN: 9811629404

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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.

2020 International Conference on Computer, Electrical and Communication Engineering (ICCECE)

2020 International Conference on Computer, Electrical and Communication Engineering (ICCECE)
Author: IEEE Staff
Publisher:
Total Pages:
Release: 2020-01-17
Genre:
ISBN: 9781728144771

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ICCECE is an international conference hosted by Techno India University, Kolkata covering research aspects in Computer, Electrical and Communication Engineering The conference invites International and SAARC Participants to present research papers

IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning

IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning
Author: Joao Gama
Publisher: Springer Nature
Total Pages: 317
Release: 2021-01-09
Genre: Computers
ISBN: 3030667707

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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. Due to the COVID-19 pandemic the workshops were held online. The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization.

Industry 4.0: Managing The Digital Transformation

Industry 4.0: Managing The Digital Transformation
Author: Alp Ustundag
Publisher: Springer
Total Pages: 293
Release: 2017-09-14
Genre: Technology & Engineering
ISBN: 3319578707

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This book provides a comprehensive guide to Industry 4.0 applications, not only introducing implementation aspects but also proposing a conceptual framework with respect to the design principles. In addition, it discusses the effects of Industry 4.0, which are reflected in new business models and workforce transformation. The book then examines the key technological advances that form the pillars of Industry 4.0 and explores their potential technical and economic benefits using examples of real-world applications. The changing dynamics of global production, such as more complex and automated processes, high-level competitiveness and emerging technologies, have paved the way for a new generation of goods, products and services. Moreover, manufacturers are increasingly realizing the value of the data that their processes and products generate. Such trends are transforming manufacturing industry to the next generation, namely Industry 4.0, which is based on the integration of information and communication technologies and industrial technology.The book provides a conceptual framework and roadmap for decision-makers for this transformation

Non-woven Fabrics

Non-woven Fabrics
Author: Han-Yong Jeon
Publisher: BoD – Books on Demand
Total Pages: 328
Release: 2016-03-24
Genre: Technology & Engineering
ISBN: 9535122711

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Non-woven Fabrics is differentiated text which covers overall stream from raw fibers to final products and includes features of manufacturing and finish process with specialized application end use. Application range of non-woven fabrics is extended to all the industrial fields needless to say apparel, such as ICT (information and communication technology), bio- and medicals, automobiles, architectures, construction and environmental. Every chapter is related to the important and convergent fields with the technical application purpose from downstream to upstream fields. Also, applicability of non-woven fabrics is introduced to be based on the structural analysis of dimensional concept and various non-woven fabrics as a state-of-art embedded convergent material are emphasized in all industry fields by using nanofibers and carbon fibers.