Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates the Monte Carlo simulation method and its application to reliability and system engineering. Readers are given a sound understanding of the fundamentals of Monte Carlo sampling and simulation and its application for...
Although regularly introducing new products or services is the lifeblood of most industries, bringing them to market can be fraught with peril. Timing, cost, and quality all play important roles in a successful product launch and avoiding expensive- often in more than just dollars- recalls and redesigns. Quality Assurance: Applying Methodologies fo
ICH Quality Guidelines
Examining the implications and practical implementation of multi-disciplinary International Conference on Harmonization (ICH) topics, this book gives an integrated view of how the guidelines inform drug development strategic planning and decision-making. - Addresses a consistent need for interpretation, training, and implementation examples of ICH guidelines via case studies - Offers a primary reference point for practitioners addressing the dual challenge of interpretation and practical implem...
Prufung Der Arbeitsgenauigkeit Von Werkzeugmaschinen
by Alfons Finkelstein
Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfangen des Verlags von 1842 erschienen sind. Der Verlag stellt mit diesem Archiv Quellen fur die historische wie auch die disziplingeschichtliche Forschung zur Verfugung, die jeweils im historischen Kontext betrachtet werden mussen. Dieser Titel erschien in der Zeit vor 1945 und wird daher in seiner zeittypischen politisch-ideologischen Ausrichtung vom Verlag nicht beworben.
Mastering System Identification in 100 Exercises
by Johan Schoukens, Rik Pintelon, and Yves Rolain
This book enables readers to understand system identification and linear system modeling through 100 practical exercises without requiring complex theoretical knowledge. The contents encompass state-of-the-art system identification methods, with both time and frequency domain system identification methods covered, including the pros and cons of each. Each chapter features MATLAB exercises, discussions of the exercises, accompanying MATLAB downloads, and larger projects that serve as potential as...
Based on deep theoretical as well as practical experience in Reliability and Quality Sciences, Robust Design Methodology for Reliability constructively addresses practical reliability problems. It offers a comprehensive design theory for reliability, utilizing robust design methodology and six sigma frameworks. In particular, the relation between un-reliability and variation and uncertainty is explored and reliability improvement measures in early product development stages are suggested. Man...
Tokamak Engineering Mechanics (Mechanical Engineering)
by Yuntao Song, Weiyue Wu, and Shijun Du
Tokamak Engineering Mechanics offers concise and thorough coverage of engineering mechanics theory and application for tokamaks, and the material is reinforced by numerous examples. Chapter topics include general principles, static mechanics, dynamic mechanics, thermal fluid mechanics and multiphysics structural mechanics of tokamak structure analysis. The theoretical principle of the design and the methods of the analysis for various components and load conditions are presented, while the lates...
Proactive Condition Monitoring of Low-Speed Machines
by Zhaklina Stamboliska, Eugeniusz Rusinski, and Przemyslaw Moczko
This book broadens readers' understanding of proactive condition monitoring of low- speed machines in heavy industries. It focuses on why low-speed machines are different than others and how maintenance of these machines should be implemented with particular attention. The authors explain the best available monitoring techniques for various equipment and the principle of how to get proactive information from each technique. They further put forward possible strategies for application of FEM for...
Much has been written about Building Information Modelling (BIM) driving collaboration and innovation, but how will future quality managers and engineers develop digital capabilities in augmented and video realities, with business intelligence platforms, robots, new materials, artificial intelligence, blockchains, drones, laser scanning, data trusts, 3D printing and many other types of technological advances in construction? These emerging technologies are potential game changers that require ne...
Risk assessment and risk analysis are now firmly fixed in the engineer's lexicon. Every engineering project, contract, piece of equipment and design requires this discipline by law. Reliability is the other key element in the mix for smooth running engineering projects and operations. In the modern industrial era, economic factors have resulted in the construction and operation of larger and more complex process plant. Accidents at these types of plants have led to notorious incidents such as Fl...
Reliability and Decision Making
by Richard E. Barlow, C.A. Claroti, and Fabio Spizzichino
Handbook of Time Series (Wiley Handbooks in Applied Statistics)
by Wilfredo Palma
Written by an expert in the field, and representing more than 25 years of teaching and research combined, the purpose of this handbook is to provide a practical one-stop reference on univariate and multivariate times series with a focus on the theories, methodologies, and algorithms that accompany them. It is intended to be a comprehensive collection of the tools and their associated methods of data analysis. A very detailed, but approachable overview of both VAR and VARMA models is carefully wo...
Uncertainty Modeling for Engineering Applications (PoliTO Springer)
This book provides an overview of state-of-the-art uncertainty quantification (UQ) methodologies and applications, and covers a wide range of current research, future challenges and applications in various domains, such as aerospace and mechanical applications, structure health and seismic hazard, electromagnetic energy (its impact on systems and humans) and global environmental state change. Written by leading international experts from different fields, the book demonstrates the unifying prope...
Precision Manufacturing provides an introduction to precision engineering for manufacturing. With an emphasis on design and performance of precision machinery for manufacturing - machine tool elements and structure, sources of error, precision machining processes and process models sensors for process monitoring and control, metrology, actuators, and machine design. This book will be of interest to design engineers, quality engineers and manufacturing engineers, academics and those who may or...
The profitability of any industry, in any technological sector - power, process, manufacturing, mineral extraction, transport, communication, etc - will be profoundly influenced by the reliability and performance of the plant which it uses. It is therefore vital that all possible measures are taken to maximise the productivity in use, and to minimise the maintenance costs and the downtime, of that plant. This book explains, in a clear and concise manner, the various organization structures that...
A comprehensive treatment of the analysis and design of discrete-time control systems which provides a gradual development of the theory by emphasizing basic concepts and avoiding highly mathematical arguments. The book features comprehensive treatment of pole placement, state observer design, and quadratic optimal control.FEATURES: * In-depth discussions of selected topics (such as Z transform, and pole placement when the control signal was a vector quantity) have been moved to optional Appendi...
Techniques, Tools and Methodologies Applied to Quality Assurance in Manufacturing
This book presents a collection of real cases from industrial practices that production system and quality managers implement to ensure a high quality as well as a low cost in products. This book is divided in sections that are focused on: * The quality and philosophies implemented to production systems; starting from the product design as well as from the supply system. * The principal statistical techniques applied to the quality assurance (statistical quality control, analy...
Statistical Applications in Process Control (Quality and Reliability)
This work presents significant advances and new methods both in statistical process control and experimental design. It addresses the management of process monitoring and experimental design, discusses the relationship between control charting and hypothesis testing, provides a new index for process capability studies, offers practical guidelines for the design of experiments, and more.