Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Predictive Modeling Of Dynamic Processes
Download Predictive Modeling Of Dynamic Processes full books in PDF, epub, and Kindle. Read online Predictive Modeling Of Dynamic Processes ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Predictive Modeling of Dynamic Processes by : Stefan Hiermaier
Download or read book Predictive Modeling of Dynamic Processes written by Stefan Hiermaier and published by Springer Science & Business Media. This book was released on 2009-07-09 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Modeling of Dynamic Processes provides an overview of hydrocode technology, applicable to a variety of industries and areas of engineering design. Covering automotive crash, blast impact, and hypervelocity impact phenomena, this volume offers readers an in-depth explanation of the fundamental code components. Chapters include informative introductions to each topic, and explain the specific requirements pertaining to each predictive hydrocode. Successfully blending crash simulation, hydrocode technology and impact engineering, this volume fills a gap in the current competing literature available.
Book Synopsis Predictive Modeling of Dynamic Processes by : Stefan Hiermaier
Download or read book Predictive Modeling of Dynamic Processes written by Stefan Hiermaier and published by Springer. This book was released on 2016-05-01 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work provides an overview of hydrocode technology, applicable to a variety of industries and areas of engineering design. It successfully blends crash simulations with hydrocode technology, and offers an explanation of the fundamental code components.
Download or read book Dynamic Process Modeling written by and published by John Wiley & Sons. This book was released on 2013-10-02 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools in process systems engineering and applications from the chemical, energy, molecular, biomedical and other areas. It spans a whole range of length scales seen in manufacturing industries, from molecular and nanoscale phenomena to enterprise-wide optimization and control. As such, this will appeal to a broad readership, since the topic applies not only to all technical processes but also due to the interdisciplinary expertise required to solve the challenge. The ultimate reference work for years to come.
Book Synopsis Microscopic and Macroscopic Simulation: Towards Predictive Modelling of the Earthquake Process by : Peter Mora
Download or read book Microscopic and Macroscopic Simulation: Towards Predictive Modelling of the Earthquake Process written by Peter Mora and published by Birkhäuser. This book was released on 2013-11-11 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Predictive Maintenance in Dynamic Systems by : Edwin Lughofer
Download or read book Predictive Maintenance in Dynamic Systems written by Edwin Lughofer and published by Springer. This book was released on 2019-02-28 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry 4.0 and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet of Things. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power.
Book Synopsis Applied Predictive Modeling by : Max Kuhn
Download or read book Applied Predictive Modeling written by Max Kuhn and published by Springer Science & Business Media. This book was released on 2013-05-17 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
Book Synopsis Personalized Predictive Modeling in Type 1 Diabetes by : Eleni I. Georga
Download or read book Personalized Predictive Modeling in Type 1 Diabetes written by Eleni I. Georga and published by Academic Press. This book was released on 2017-12-11 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personalized Predictive Modeling in Diabetes features state-of-the-art methodologies and algorithmic approaches which have been applied to predictive modeling of glucose concentration, ranging from simple autoregressive models of the CGM time series to multivariate nonlinear regression techniques of machine learning. Developments in the field have been analyzed with respect to: (i) feature set (univariate or multivariate), (ii) regression technique (linear or non-linear), (iii) learning mechanism (batch or sequential), (iv) development and testing procedure and (v) scaling properties. In addition, simulation models of meal-derived glucose absorption and insulin dynamics and kinetics are covered, as an integral part of glucose predictive models. This book will help engineers and clinicians to: select a regression technique which can capture both linear and non-linear dynamics in glucose metabolism in diabetes, and which exhibits good generalization performance under stationary and non-stationary conditions; ensure the scalability of the optimization algorithm (learning mechanism) with respect to the size of the dataset, provided that multiple days of patient monitoring are needed to obtain a reliable predictive model; select a features set which efficiently represents both spatial and temporal dependencies between the input variables and the glucose concentration; select simulation models of subcutaneous insulin absorption and meal absorption; identify an appropriate validation procedure, and identify realistic performance measures. Describes fundamentals of modeling techniques as applied to glucose control Covers model selection process and model validation Offers computer code on a companion website to show implementation of models and algorithms Features the latest developments in the field of diabetes predictive modeling
Book Synopsis High-Speed Penetration Dynamics by : Gabi Ben-Dor
Download or read book High-Speed Penetration Dynamics written by Gabi Ben-Dor and published by World Scientific. This book was released on 2013-06-07 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important monograph is the first comprehensive compendium of engineering models used in high-speed penetration mechanics. The book consists of two parts. The first part (more than a quarter of the book's content) is in fact a handbook giving a very detailed summary of the engineering models used for the analysis of high-speed penetration of rigid projectiles into various media (concrete, metals, geological media). The second part of the book demonstrates the possibilities and efficiency of using approximate models for investigating traditional and nontraditional problems of penetration mechanics. Different chapters in the books are devoted to different classes of problems and can be read independently. Each chapter is self-contained, which includes a comprehensive literature survey of the topic, and carries a list of used notations. The bibliography includes more than 700 references. This monograph is a reliable and indispensable reference guide for anyone interested in using engineering models in high-speed penetration mechanics. Contents:Some Conventional Approaches to Penetration Modeling:Localized Interaction Models (LIMs)Cavity Expansion ApproximationsPenetration into Concrete Shields:Empirical ModelsAnalytical ModelsPenetration into Metallic Shields:Empirical ModelsAnalytical ModelsPenetration into Geological Shields:Empirical ModelsAnalytical ModelsSome Special Inverse Problems:Theoretical Basis of the MethodApplication to Penetration MechanicsMethod of Basic Impactors for Prediction of Penetration and Perforation:Simplified Version of the MethodComplete Version of the MethodShape Optimization of Impactors:SurveyPenetration with Non-Constant FrictionSemi-Infinite Concrete ShieldsMetal Shields with a Finite ThicknessFiber Reinforced Plastic LaminatesEffectiveness of Segmented Impactors:High-Speed Impact. Simplified Discrete ModelHigh-Speed Impact. Generalized Discrete and Continuous ModelsHypervelocity ImpactModeling and Optimal Control of Impactors with Jet Thruster:Application of Two-Term Model of PenetrationApplication of the Modified Young ModelEffect of Order of Plates, Layering and Spacing on Protective Properties of Ductile Shields:SurveyEffect of Spacing for Non-Conical Impactors. Numerical SimulationEffect of Order of Plates for Non-Conical Impactors. Numerical SimulationEffect of Layering. Theoretical AnalysisOptimization of Multi-Layer ShieldsSome Optimization Problems for Non-Homogeneous Non-Ductile Shields:Optimization of Reinforced Concrete Panels with Steel LinerOptimization of Two-Component Armor against Single and Repeated ImpactsAppendix:Properties of Convex/Concave Increasing Positive Functions Readership: Professionals, academics, researchers and graduate students in engineering mechanics, mechanical engineering, materials science, civil engineering and ocean engineering. Keywords:Impact;Penetration;Perforation;Impactor;Projectile;High Speed;Target;Rod;Cavity Expansion;Armor;Jet ThrusterReviews: “Because there are very few books on this topic, if you are interested in this research area, this is definitely an interesting book.” IEEE Electrical Insulation Magazine
Book Synopsis Process Dynamics and Control by : Brian Roffel
Download or read book Process Dynamics and Control written by Brian Roffel and published by John Wiley & Sons. This book was released on 2007-01-11 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering a different approach to other textbooks in the area, this book is a comprehensive introduction to the subject divided in three broad parts. The first part deals with building physical models, the second part with developing empirical models and the final part discusses developing process control solutions. Theory is discussed where needed to ensure students have a full understanding of key techniques that are used to solve a modeling problem. Hallmark Features: Includes worked out examples of processes where the theory learned early on in the text can be applied. Uses MATLAB simulation examples of all processes and modeling techniques- further information on MATLAB can be obtained from www.mathworks.com Includes supplementary website to include further references, worked examples and figures from the book This book is structured and aimed at upper level undergraduate students within chemical engineering and other engineering disciplines looking for a comprehensive introduction to the subject. It is also of use to practitioners of process control where the integrated approach of physical and empirical modeling is particularly valuable.
Book Synopsis Modelling and Control of Dynamic Systems Using Gaussian Process Models by : Juš Kocijan
Download or read book Modelling and Control of Dynamic Systems Using Gaussian Process Models written by Juš Kocijan and published by Springer. This book was released on 2015-11-21 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of system identification and control. It emphasizes guidelines for working solutions and practical advice for their implementation rather than the theoretical background of Gaussian process (GP) models. The book demonstrates the potential of this recent development in probabilistic machine-learning methods and gives the reader an intuitive understanding of the topic. The current state of the art is treated along with possible future directions for research. Systems control design relies on mathematical models and these may be developed from measurement data. This process of system identification, when based on GP models, can play an integral part of control design in data-based control and its description as such is an essential aspect of the text. The background of GP regression is introduced first with system identification and incorporation of prior knowledge then leading into full-blown control. The book is illustrated by extensive use of examples, line drawings, and graphical presentation of computer-simulation results and plant measurements. The research results presented are applied in real-life case studies drawn from successful applications including: a gas–liquid separator control; urban-traffic signal modelling and reconstruction; and prediction of atmospheric ozone concentration. A MATLAB® toolbox, for identification and simulation of dynamic GP models is provided for download.
Book Synopsis Process and Plant Safety by : Jürgen Schmidt
Download or read book Process and Plant Safety written by Jürgen Schmidt and published by John Wiley & Sons. This book was released on 2012-09-13 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: The safe operation of plants is of paramount importance in the chemical, petrochemical and pharmaceutical industries. Best practice in process and plant safety allows both the prevention of hazards and the mitigation of consequences. Safety Technology is continuously advancing to new levels and Computational Fluid Dynamics (CFD) is already successfully established as a tool to ensure the safe operation of industrial plants. With CFD tools, a great amount of knowledge can be gained as both the necessary safety measures and the economic operation of plants can be simultaneously determined. Young academics, safety experts and safety managers in all parts of the industry will henceforth be forced to responsibly judge these new results from a safety perspective. This is the main challenge for the future of safety technology. This book serves as a guide to elaborating and determining the principles, assumptions, strengths, limitations and application areas of utilizing CFD in process and plant safety, and safety management. The book offers recommendations relating to guidelines, procedures, frameworks and technology for creating a higher level of safety for chemical and petrochemical plants. It includes modeling aids and concrete examples of industrial safety measures for hazard prevention.
Book Synopsis Dynamic Prediction in Clinical Survival Analysis by : Hans van Houwelingen
Download or read book Dynamic Prediction in Clinical Survival Analysis written by Hans van Houwelingen and published by CRC Press. This book was released on 2011-11-09 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascular disease, and chronic kidney disease. Current practice is to use prediction models based on the Cox proportional hazards model and to present those as static models for remaining lifetime a
Book Synopsis Predictive Modeling of Pharmaceutical Unit Operations by : Preetanshu Pandey
Download or read book Predictive Modeling of Pharmaceutical Unit Operations written by Preetanshu Pandey and published by Woodhead Publishing. This book was released on 2016-09-26 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of modeling and simulation tools is rapidly gaining prominence in the pharmaceutical industry covering a wide range of applications. This book focuses on modeling and simulation tools as they pertain to drug product manufacturing processes, although similar principles and tools may apply to many other areas. Modeling tools can improve fundamental process understanding and provide valuable insights into the manufacturing processes, which can result in significant process improvements and cost savings. With FDA mandating the use of Quality by Design (QbD) principles during manufacturing, reliable modeling techniques can help to alleviate the costs associated with such efforts, and be used to create in silico formulation and process design space. This book is geared toward detailing modeling techniques that are utilized for the various unit operations during drug product manufacturing. By way of examples that include case studies, various modeling principles are explained for the nonexpert end users. A discussion on the role of modeling in quality risk management for manufacturing and application of modeling for continuous manufacturing and biologics is also included. Explains the commonly used modeling and simulation tools Details the modeling of various unit operations commonly utilized in solid dosage drug product manufacturing Practical examples of the application of modeling tools through case studies Discussion of modeling techniques used for a risk-based approach to regulatory filings Explores the usage of modeling in upcoming areas such as continuous manufacturing and biologics manufacturingBullet points
Book Synopsis Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering by : Kim, Dookie
Download or read book Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering written by Kim, Dookie and published by IGI Global. This book was released on 2018-06-15 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers. The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.
Book Synopsis Evolution, Monitoring and Predicting Models of Rockburst by : Chunlai Wang
Download or read book Evolution, Monitoring and Predicting Models of Rockburst written by Chunlai Wang and published by Springer. This book was released on 2017-12-13 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book focuses on investigating predicting precursor information and key points of rockburst in mining engineering through laboratory experiment, theoretical analysis, numerical simulation and case studies. Understanding the evolution patterns for the microstructure instability of rock is a prerequisite for rockburst prediction. The book provides a guide for readers seeking to understand the evolution patterns for the microstrucure of rock failure, the predicting key point of rock failure and the rockburst predicting model. It will be an essential reference to understand mechanism of rockburst and sheds new light on dynamic disasters prediction. Chapters are carefully developed to cover (1) The evolution patterns for the microstructure instability of rock; (2) Rockburst hazard monitoring and predicting criterion and predicting models. The book addresses the issue with a holistic and systematic approach that investigates the occurrence mechanism of rockburst based on the evolution patterns for the microstructure of rock failure and establishes the predicting model of rockburst. This book will be of interest to researchers of mining engineering, rock mechanics engineering and safety engineering.
Book Synopsis Predictive Control in Process Engineering by : Robert Haber
Download or read book Predictive Control in Process Engineering written by Robert Haber and published by John Wiley & Sons. This book was released on 2012-09-19 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describing the principles and applications of single input, single output and multivariable predictive control in a simple and lively manner, this practical book discusses topics such as the handling of on-off control, nonlinearities and numerical problems. It gives guidelines and methods for reducing the computational demand for real-time applications. With its many examples and several case studies (incl. injection molding machine and waste water treatment) and industrial applications (stripping column, distillation column, furnace) this is invaluable reading for students and engineers who would wish to understand and apply predictive control in a wide variety of process engineering application areas.
Book Synopsis Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research by : Chao Shang
Download or read book Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research written by Chao Shang and published by Springer. This book was released on 2018-02-22 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts. The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.
