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Wiley-VCH - Industrial Engineering
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Accuracy and Calibration Failures in Science and Engineering
Safeguard your operational integrity and data reliability with this essential technical and investigative guide, which critically examines and provides actionable frameworks to combat the dangerously undercommunicated risks of calibration drift and systemic measurement failures across all industries. As industries grow more complex and digitized, the demand for precision and reproducibility has escalated, placing extraordinary reliance on sensors, analytical instruments, and automated data systems. This evolution has exposed systemic vulnerabilities such as outdated calibration protocols, unvalidated assumptions, and fragmented oversight across lifecycle stages. This book is a technical and investigative work that critically examines the overlooked, misunderstood, and dangerously undercommunicated issues of calibration drift, traceability loss, and systemic measurement failures across science, engineering, and industry. The book provides a structured, in-depth exploration of how calibration standards shift without timely notification and the cascading consequences this can have on data reliability, regulatory compliance, safety, and decision-making. The content spans from foundational concepts in calibration and metrology to detailed technical analyses of failure modes in sensors, instruments, and analytical systems. The book emphasizes the interconnectedness of human factors, systemic inertia, and institutional resistance to change, delivering actionable frameworks for building resilience, including updated ISO standards, failure mode and effects analysis, checklists, dashboards, and protocols. [352 Pages, Hardcover]
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A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration
An expert discussion of intelligent optimization control in complex industrial processes In A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration: AI and Its Application to Complex Industrial Processes, a team of distinguished researchers delivers an innovative new approach to integrating virtual mechanism data generated through coupled numerical simulation and orthogonal experimental design with real historical data. The book explains how to create a heterogenous ensemble prediction model for carbon monoxide emissions in municipal solid waste incineration (MSWI) processes. The authors focus on intelligent optimization control of MSWI processes based on hardware-in-loop DT platforms. They demonstrate AI-driven modeling, control, optimization algorithms in real-world applications, including virtual-real data hybrid-driven deep modeling and intelligent optimal controls based on multiple objectives. Additional topics include: * A thorough introduction to numerical simulation modeling of whole industrial processes * Comprehensive explorations of the design, implementation, and validation of hardware-in-loop digital twin platforms * Practical discussions of AI-driven modeling, control, and optimization * Fulsome descriptions of the skills required to address challenges posed by complex industrial processes Perfect for environmental engineers and researchers, A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration will also benefit MSWI plant operators and managers, as well as AI and machine learning researchers and developers of environmental monitoring and control systems. [624 Pages, Hardcover]
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Monte Carlo Simulation in Dependability Analysis
System dependability is a complex task to grasp and analyze since it encompasses reliability, maintainability, availability, failure mode analysis and feared events. For operational safety analyses, reliability is a quantitative basis for the other disciplines of maintainability, availability and safety. Reliability metrics such as failure rate or MTBF are often misused as they are only valid for low-maintenance applications, and wrongly for others, as MTBF is only relevant for availability. In addition, in operational safety, many equations do not have explicit solutions, and Monte Carlo simulations are a little-used way of obtaining and/or confirming the solution obtained by numerical methods. Monte Carlo Simulation in Dependability Analysis fills this gap as best as we can. This task is a difficult one, since operational safety is a cross-disciplinary activity in the engineering sciences - cross-disciplinary in that it must be present throughout a product's life cycle. [304 Pages, Hardcover]
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Digital Manufacturing
Drive innovation and efficiency in your manufacturing processes with this comprehensive guide that explores the transformative impact of digital manufacturing technologies, from robotics to Industry 4.0. Digital manufacturing refers to the use of a computer-based system consisting of various tools and software for simulation, analytics, 3D visualization, and business and manufacturing collaboration. Often, these tools and software programs are cloud-based. They enable a manufacturer to connect and integrate manufacturing operations into a streamlined whole. With this centralized computer system, manufacturers have a seamless, connected flow of data related to all their processes and products. This comprehensive volume explores the transformative impact of digital technologies on the manufacturing industry. It delves into the core concepts of digital manufacturing, including automation, additive manufacturing, robotics, digital twins, and Industry 4.0. Covering both the theoretical foundations and practical applications of these technologies, this book provides a detailed understanding of how these technologies are reshaping production processes, improving efficiency, and driving innovation. It highlights the challenges and opportunities of adopting these advancements in the context of modern manufacturing environments. With real-world case studies and insights from industry experts, this book serves as an essential resource for professionals, students, and researchers aiming to understand and implement digital manufacturing solutions. Readers will find the volume: * Introduces technologies for successful improvement in advanced processes and applications of digital manufacturing; * Explores recently developed digital manufacturing technologies; * Discusses the successful fabrication of multipurpose digital manufacturing technologies, the sustainability of digital manufacturing technologies, and the future scope and challenges presented by digital manufacturing technologies. Audience Engineers, researchers, academics, and industry professionals invested in digital manufacturing technologies. [672 Pages, Hardcover]
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Design and Optimization of Mobile Robotics for Industry 5.0
Harness the future of automation with this comprehensive guide, offering an in-depth look at how next-generation mobile robotics are driving the transition to a human-centered and sustainable Industry 5.0. Design and Optimization of Mobile Robotics for Industry 5.0 delivers an in-depth, interdisciplinary look at how next-generation mobile robotic systems are enabling the evolution from Industry 4.0 to a more human-centered, resilient, and sustainable Industry 5.0. This book addresses the technical, ethical, and societal dimensions of robotics technologies, from design principles and autonomous navigation to human-robot interaction and AI integration. It brings together cutting-edge research and real-world case studies across smart manufacturing, agriculture, healthcare, and industrial automation. Readers will explore topics such as digital twins, IoT-enhanced robotics, sensor fusion, and collaborative robotics. With contributions from leading global experts, this volume serves as a comprehensive guide for those involved in designing, deploying, or studying robotics systems that align with the goals of Industry 5.0. [432 Pages, Hardcover]
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