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Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
The book aims to highlight the potential of deep learning (DL)-enabled methods in intelligent fault diagnosis (IFD), along with their benefits and contributions. The authors first introduce basic applications of DL-enabled IFD, including auto-encoders, deep belief networks, and convolutional neural networks. Advanced topics of DL-enabled IFD are also explored, such as data augmentation, multi-sensor fusion, unsupervised deep transfer learning, neural architecture search, self-supervised learning, and reinforcement learning. Aiming to revolutionize the nature of IFD, Deep Neural Networks-Enabled Intelligent Fault Diangosis of Mechanical Systems contributes to improved efficiency, safety, and reliability of mechanical systems in various industrial domains. The book will appeal to academic researchers, practitioners, and students in the fields of intelligent fault diagnosis, prognostics and health management, and deep learning.
Micro- and Biofluidics
The main objective of this book is to understand and manipulate the physical, chemical, and biological processes that occur in microscale fluidic systems. It explains microfluidics and biofluidics and their application to innovative design and computational intelligence methods used for solving nonlinear problems of engineering. It also covers new evolving trends in engineering related to green technologies, biomedical devices, computer-aided design, smart manufacturing, artificial intelligence systems, and sustainability. The book adopts a balanced approach between academic research and industrial applications. Features: Includes design and fabrication of microfluidic devices and systems for biological and medical applications. Investigates physical properties and behavior of fluids at the microscale level. Covers the development of microfluidic sensors and actuators for medical and environmental monitoring. Studies fluid dynamics in biological systems. Reviews tribological analysis of microfluidic and biofluidic devices for medical applications. This book is aimed at researchers and graduate students in fluid dynamics, mechanical engineering, and bioengineering.
Entrepreneurship Innovation and Education for Performance Improvement
Entrepreneurship, innovation, and education intersections have become crucial in driving organizational and individual success in todays quickly changing economic world. Globalization, technological innovation, and evolving consumer habits constantly transform sectors, requiring quick and innovative answers. The key to this transition is encouraging entrepreneurial attitudes, developing new methods, and using educational frameworks to improve performance in all areas. Entrepreneurship Innovation and Education for Performance Improvement thoroughly examines the ways in which these interrelated areas might collaboratively boost the performance of both organizations and individuals in the cur...
Advanced Manufacturing Methods
Advanced Manufacturing Methods: Smart Processes and Modeling for Optimization describes developments in advanced manufacturing processes and applications considering typical and advanced materials. It helps readers implement manufacturing 4.0 production techniques and highlights why a consolidated source and robust platform are necessary for implementing machine learning processes in the manufacturing sector. Discusses the industrial impact of manufacturing process Provides novel fundamental manufacturing solutions Presents the various aspects of applications in advanced materials in correlation of physical properties with macro-, micro- and nanostructures Reviews both classical and artificial manufacturing when applied with typical and novel innovative materials Aimed at those working in manufacturing, mechanical and optimization of manufacturing processes, this work provides readers with a comprehensive view of current development in, and applications of, advanced manufacturing.
Manufacturing Driving Circular Economy
This is an open access book. It gathers the proceedings of the 18th Global Conference on Sustainable Manufacturing, held on October 5-7, 2022, as a hybrid event, in/from Berlin, Germany. With a focus on manufacturing advances and practices driving the circular economy, the chapters selected for this book report on sustainable manufacturing technologies for the mobility, energy and construction sector, and for machines and equipments, covering applications of artificial intelligence and industry 4.0. Moreover, they discuss energy-efficient process, waste reuse, and CO2 neutral production, giving a special emphasis to developing sustainable manufacturing in emerging countries. This book offers extensive and timely information for both researchers and professionals in the field of manufacturing and business development.
Wavelets
Wavelets: Theory and Applications for Manufacturing presents a systematic description of the fundamentals of wavelet transform and its applications. Given the widespread utilization of rotating machines in modern manufacturing and the increasing need for condition-based, as opposed to fix-interval, intelligent maintenance to minimize machine down time and ensure reliable production, it is of critical importance to advance the science base of signal processing in manufacturing. This volume also deals with condition monitoring and health diagnosis of rotating machine components and systems, such as bearings, spindles, and gearboxes, while also: -Providing a comprehensive survey on wavelets spe...
Condition Monitoring and Control for Intelligent Manufacturing
Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering. Condition Monitoring and Control for Intelligent Manufacturing will be bought by researchers and graduate students in manufacturing and control and engineering, as well as practising engineers in industries such as automotive and packaging manufacturing.
Empowering Entrepreneurial Mindsets With AI
Artificial intelligence (AI) reshapes the entrepreneurial landscape by offering tools and insights to encourage innovation, transform ideas, and impact business owners mindsets. With AI's ability to analyze vast amounts of data, predict trends, and automate complex processes, entrepreneurs are now equipped to make more informed decisions, streamline operations, and discover new market opportunities. However, to fully harness AI's potential, there must be a concerted effort to democratize access to these technologies and provide the necessary skills and resources to aspiring founders. By fostering a culture of learning and experimentation, entrepreneurs may become empowered to explore the v...
