Industrial Process Modelling with Mechanical Frequency Spectrum Data


Book Description

Different industries use data analytics and the process modelling technique successfully in a variety of ways. These popular intelligent approaches improve the quality and quantity of production. This book focuses on the technique of soft-sensing based on spectral data with multi-source high-dimensional mechanical frequency in order to assess difficult-to-measure process parameters. The book will be of interest to researchers and professors working in data analytics, engineers and technicians who need a modelling method based on small sample data, and PhD students who need to solve modelling and control challenges in a practical way.




Handbook of Research on Manufacturing Process Modeling and Optimization Strategies


Book Description

Recent improvements in business process strategies have allowed more opportunities to attain greater developmental performances. This has led to higher success in day-to-day production and overall competitive advantage. The Handbook of Research on Manufacturing Process Modeling and Optimization Strategies is a pivotal reference source for the latest research on the various manufacturing methodologies and highlights the best optimization approaches to achieve boosted process performance. Featuring extensive coverage on relevant areas such as genetic algorithms, fuzzy set theory, and soft computing techniques, this publication is an ideal resource for researchers, practitioners, academicians, designers, manufacturing engineers, and institutions involved in design and manufacturing projects.




Industrial Process Sensors


Book Description

As manufacturing processes become increasingly complex, industry must rely on advanced sensor technology and process control to improve efficiency and product quality. Processes now need a variety of on-line measurements, such as film thickness, particle size, solids concentrations, and contamination detection. Industrial Process Sensors provides a coherent review of the physical principles, design, and implementation of a wide variety of in-process sensors used to control manufacturing operations. Real data from commercial installations illustrates the operation and limitations of these devices. The book begins with a review of the basic physics of sound, light, electricity, and radiation, with a focus on their role in sensor devices. The author introduces the generic sensor model and discusses the propagation of measurement errors. He goes on to describe conventional process sensors that measure temperature, pressure, level, and flow. The second half of the book focuses on more advanced topics, such as particle size measurement in slurries and emulsions, tomography and process imaging of manufacturing operations, on-line measurement of film thickness, identification of polymer type for recycling, and characterization of reinforced polymers and composites. By exploring both theory and final implementation of sensors used to control industrial manufacturing processes, Industrial Process Sensors provides the information you need to develop solutions to a wide range of industrial measurement needs.




Integration of Mechanical and Manufacturing Engineering with IoT


Book Description

INTEGRATION OF MECHANICAL AND MANUFACTURING ENGINEERING WITH IOT The book provides researchers, professionals, and students with a resource on the basic principles of IoT and its applications, as well as a guide to practicing engineers who want to understand how the Internet of Things can be implemented for different fields of mechanical and manufacturing engineering. This book broadly explores the latest developments of IoT and its integration into mechanical and manufacturing engineering. It details the fundamental concepts and recent developments in IoT & Industry 4.0 with special emphasis on the mechanical engineering platform for such issues as product development and manufacturing, environmental monitoring, automotive applications, energy management, and renewable energy sectors. Topics and related concepts are portrayed comprehensively so that readers can develop expertise and knowledge in the field of IoT. It is packed with reference tables and schematic diagrams for the most commonly used processes and techniques, thereby providing a resource on the basic principles and application of IoT in manufacturing sectors. Audience The book will be read by academic researchers, industry engineers, and R&D personnel in materials, information and technology, artificial intelligence, and manufacturing. The book will greatly assist graduate students.




Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis


Book Description

The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control. The main market area of the contributions include: Advanced fault-tolerant control, control reconfiguration, health monitoring techniques for industrial systems, data-driven diagnosis methods, process supervision, diagnosis and control of discrete-event systems, maintenance and repair strategies, statistical methods for fault diagnosis, reliability and safety of industrial systems artificial intelligence methods for control and diagnosis, health-aware control design strategies, advanced control approaches, deep learning-based methods for control and diagnosis, reinforcement learning-based approaches for advanced control, diagnosis and prognosis techniques applied to industrial problems, Industry 4.0 as well as instrumentation and sensors. These works constitute advances in the aforementioned scientific fields and will be used by graduate as well as doctoral students along with established researchers to update themselves with the state of the art and recent advances in their respective fields. As the book includes several applicative studies with several multi-disciplinary contributions (deep learning, reinforcement learning, model-based/data-based control etc.), the book proves to be equally useful for the practitioners as well industrial professionals.




Novel Algorithms and Techniques in Telecommunications, Automation and Industrial Electronics


Book Description

Novel Algorithms and Techniques in Telecommunications, Automation and Industrial Electronics includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Industrial Electronics, Technology and Automation, Telecommunications and Networking. Novel Algorithms and Techniques in Telecommunications, Automation and Industrial Electronics includes selected papers form the conference proceedings of the International Conference on Industrial Electronics, Technology and Automation (IETA 2007) and International Conference on Telecommunications and Networking (TeNe 07) which were part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2007).







Industry 4.0


Book Description

This book presents a comprehensive discussion of the recent advances in Industry 4.0, manufacturing processes, and intelligent techniques. It will serve as an ideal reference text for graduate students and academic researchers in the fields of manufacturing engineering, industrial engineering, mechanical engineering, and production engineering. This text introduces Industry 4.0, its evolution, and essential pillars of Industry 4.0 including calibration, metrology, quality control, robotics, artificial intelligence, and the Internet of Things. It comprehensively covers important topics including the cold spray technique for additive manufacturing, tool condition monitoring, robotic manipulators, metrology, quality control, and the Internet of Things in Industry 4.0. The book: Discusses additive manufacturing and applications of lasers in advanced manufacturing Covers sensors, actuators, and calibration techniques for next-generation industries Emphasizes the recycling of materials for sustainable manufacturing Explores latest advances in the Internet of Things, robotics, artificial intelligence, and machine learning in view of Industry 4.0 Provides a conceptual framework of Industry 4.0 with the help of applications and case studies The text is primarily written for graduate students and academic researchers in the fields of manufacturing engineering, industrial engineering, mechanical engineering, and production engineering.