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Fundamentals of Uncertainty Quantification for Engineers: Methods and Models provides a comprehensive introduction to uncertainty quantification (UQ) accompanied by a wide variety of applied examples, implementation details, and practical exercises to reinforce the concepts outlined in the book. Sections start with a review of the history of probability theory and recent developments of UQ methods in the domains of applied mathematics and data science. Major concepts of probability axioms, conditional probability, and Bayes’ rule are discussed and examples of probability distributions in parametric data analysis, reliability, risk analysis, and materials informatics are included. Random processes, sampling methods, and surrogate modeling techniques including multivariate polynomial regression, Gaussian process regression, multi-fidelity surrogate, support-vector machine, and decision tress are also covered. Methods for model selection, calibration, and validation are introduced next, followed by chapters on sensitivity analysis, stochastic expansion methods, Markov models, and non-probabilistic methods. The book concludes with a chapter describing the methods that can be used to predict UQ in systems, such as Monte Carlo, stochastic expansion, upscaling, Langevin dynamics, and inverse problems, with example applications in multiscale modeling, simulations, and materials design.
The book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection filters, it uses set-membership principles to deal with the unknown but bounded noise term. Some regular geometric spaces are introduced, such as the ellipsoid, polyhedron, interval, to describe the feasible parameter sets of the given system. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. Some typical application cases are studied for fault detection and diagnosis in detail, which are power converter, permanent magnet synchronous motor, pitch system of wind turbine. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of fault detection and diagnosis.
This book presents an update on teacher and education development research, policymaking and innovation within the Belt and Road Countries. It illustrates cases from 18 Belt and Road countries: Albania, Cambodia, China, Hungary, India, Israel, Kazakhstan, Kyrgyzstan, Lithuania, Malaysia, Mongolia, Qatar, Russia, Singapore, Sri Lanka, Syria, Tajikistan and Turkey. It identifies regularities and patterns of teacher development in the context of education development, and explores the characteristics of education policy and practice of the Belt and Road countries. It will be of interest to all researchers, educators and policymakers involved in teacher development and/or education development.
As China's economic system of the day is featured by mixed ownership, state-owned enterprises (SOEs), under the New Normal of economic backdrop, are devoted to exploring the reform of stock resources reorganization, one of which is through mergers and acquisitions (M&A).
By the year 2000, annual sales of computer products to China may well reach $15-18 billion, making China one of the largest computer markets in the world.
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