الصفحة 1
الصفحة 1
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Model-based Fault Diagnosis Techniques : Design Schemes, Algorithms, and Tools

The objective of this book is to introduce basic model-based FDI schemes, advanced analysis and design algorithms and the needed mathematical and control theory tools at a level for graduate students and researchers as well as for engineers.

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Force Sensors for Microelectronic Packaging Applications

This monograph is intended for wire bonding and flip-chip packaging professionals and for scientists and engineers working in the field of mechanical microsensors. New measurement technologies are introduced that allow in situ and real-time examination of physical processes during the packaging process or during subsequent reliability tests. The measurement system presented here enables measurements at formerly inaccessible packaging interconnects. For the first time it becomes possible to describe the wire bonding process window in terms of the physical forces at the contact zone instead of the applied machine settings. This is significant for a deeper understanding of these packaging processes. Applications of the sensor in the field of wire bonding and flip-chip characterization are illustrated. The reader will gain much insight into the important field of interconnection technology in semiconductor packaging.

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Durability of reinforced concrete structures

Reinforced concrete structures corrode as they age, with significant financial implications, but it is not immediately clear why some are more durable than others. This book looks at the mechanisms for corrosion and how corrosion engineering can be used for these problems to be minimized in future projects. Several different examples of reinforced concrete structures with corrosion problems are described and the various life enhancement solutions considered and applied are discussed. The book includes a chapter on the effectiveness of corrosion monitoring techniques and questions why the reality is at odds with current theory and standards.

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Data-Driven Fault Detection and Reasoning for Industrial Monitoring

Assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring.

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