This book presents concepts, methods and techniques to examine symptoms of faults and failures of structures, systems and components and to monitor functional performance and structural integrity. The book is organized in five parts. Part A introduces the scope and application of technical diagnostics and gives a comprehensive overview of the physics of failure. Part B presents all relevant methods and techniques for diagnostics and monitoring: from stress, strain, vibration analysis, nondestructive evaluation, thermography and industrial radiology to computed tomography and subsurface microstructural analysis. Part C cores the principles and concepts of technical failure analysis, illustrates case studies, and outlines machinery diagnostics with an emphasis on tribological systems. Part D describes the application of structural health monitoring and performance control to plants and the technical infrastructure, including buildings, bridges, pipelines, electric power stations, offshore wind structures, and railway systems. And finally, Part E is an excursion on diagnostics in arts and culture. The book integrates knowledge of basic sciences and engineering disciplines with contributions from research institutions, academe, and industry, written by internationally known experts from various parts of the world, including Europe, Canada, India, Japan, and USA.

This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but also the theoretical background and models developed for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs. Commonly used models in educational measurement and psychometrics typically assume a single latent trait or at best a small number of latent variables that are aimed at describing individual differences in observed behavior. While this allows simple rankings of test takers along one or a few dimensions, it does not provide a detailed picture of strengths and weaknesses when assessing complex cognitive skills. DCMs, on the other hand, allow the evaluation of test taker performance relative to a potentially large number of skill domains. Most diagnostic models provide a binary mastery/non-mastery classification for each of the assumed test taker attributes representing these skill domains. Attribute profiles can be used for formative decisions as well as for summative purposes, for example in a multiple cut-off procedure that requires mastery on at least a certain subset of skills. The number of DCMs discussed in the literature and applied to a variety of assessment data has been increasing over the past decades, and their appeal to researchers and practitioners alike continues to grow. These models have been used in English language assessment, international large scale assessments, and for feedback for practice exams in preparation of college admission testing, just to name a few. Nowadays, technology-based assessments provide increasingly rich data on a multitude of skills and allow collection of data with respect to multiple types of behaviors. Diagnostic models can be understood as an ideal match for these types of data collections to provide more in-depth information about test taker skills and behavioral tendencies.

The Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling discusses the many factors affect reliability and performance, including engineering design, materials, manufacturing, operations, maintenance, and many more. Reliability is one of the fundamental criteria in engineering systems design, with maintenance serving as a way to support reliability throughout a system's life. Addressing these issues requires information, modeling, analysis and testing. Different techniques are proposed and implemented to help readers analyze various behavior measures (in terms of the functioning and performance) of systems. - Enables mathematicians to convert any process or system into a model that can be analyzed through a specific technique - Examines reliability and mathematical modeling in a variety of disciplines, unlike competitors which typically examine only one - Includes a table of contents with simple to complex examples, starting with basic models and then refining modeling approaches step-by-step

This book presents the principles, methods and techniques to characterize materials and technical systems. The book is organized with concise text-graphics compilations in three parts: The first part describes the fundamentals of measurement, testing and sensor technology, including a survey of sensor types for dimensional metrology, kinematics, dynamics, and temperature. It describes also microsensors and embedded sensors. The second part gives an overview of materials and explains the application of measurement, testing and sensor technology to characterize composition, microstructure, properties and performance of materials as well as deterioration mechanisms and reliability. The third part introduces the general systems theory for the characterization of technical systems, exemplified by mechatronic and tribological systems. It describes technical diagnostics for structural health monitoring and performance control.

Gain a firm foundation for sonography practice! Corresponding to the chapters in Hedrick's Technology for Diagnostic Sonography, this study guide focuses on basic concepts to help you master sonography physics and instrumentation. It includes laboratory exercises designed to teach you how to operate a scanner, and comprehensive review questions allow you to assess your knowledge. Not only will you learn the theoretical knowledge that is the basis for ultrasound scanning, but also the practical skills necessary for clinical practice. - Laboratory exercises teach you the function of operator controls and how to optimize image quality and practice ALARA, and include step-by-step instructions for scanner operation, for hands-on application and practice. - 250 review questions help you assess your understanding of sonography physics and instrumentation, and identify areas of knowledge that may need further study. - Key Points at the beginning of each chapter emphasize the most important sonography principles that you need to understand and apply.

Description: This Study Guide is a companion to the popular ultrasound physics textbook "The Physics and Technology of Diagnostic Ultrasound: A Practitioner's Guide". It contains over 120 short questions and provides model answers for each. It has been designed for both students and teachers. Students will find it valuable as a learning aid and as a resource to test their knowledge and understanding. Teachers, supervisors and tutors will find it a useful teaching asset and an excellent starting point for writing quiz and exam questions.

Modern systems have become increasingly complex to design and build, while the demand for reliability and cost-effective enhancement continues. Robust international competition has further intensified the need for all designers, managers, practitioners, scientists, and engineers to ensure a level of reliability of their products and processes before release at the lowest cost. Developments in Reliability Engineering equips its audience with the necessary information to keep up with the latest original research and state-of-the-art advances in reliability engineering. The volume offers an excursus from historical theories and methods to the present-world practical utility of these concepts with worked-out examples. - Guides readers through reliability topics from an historical perspective to new research results, advancements, and latest developments - Draws on the authors' experience of reliability analysis in a range of industries and disciplines, showing the need for reliability from the product design stage right through to aftercare - Provides methods throughout, making this title a good source of actionable information

Pocket Guide to Gene Level Diagnostics in Clinical Practice is an abbreviated, pocket-size, quick-reference guide that provides a point-by-point synopsis of the vast wealth of information contained in CRC Handbook of Gene Level Diagnostics in Clinical Practice. All sections and subsections in the Pocket Guide are cross-referenced to corresponding pages in the Handbook. The book works well on its own as a quick reference, but also can be used in conjunction with the larger Handbook for detailed coverage and references to specific information. Pocket Guide to Gene Level Diagnostics in Clinical Practice also includes extensive supplements featuring material not included in the Handbook. These are intended to provide an up-dated, practical source of information useful to anyone involved in molecular diagnostic research and/or service. Supplements are cross-referenced to the main text of the Pocket Guide, that complement and enhance the material covered. Pocket Guide to Gene Level Diagnostics in Clinical Practice will be a handy reference for professionals and students in pathology, biotechnology, biology, and medicine.

"This book includes state-of-the-art methodologies that introduce biomedical imaging in decision support systems and their applications in clinical practice"--Provided by publisher.