The Safety Critical Systems Handbook, David J. Smith
Новое издание
Автор: Smith, David J. (independent Consultant, Technis, Tonbridge, Uk) Simpson, Kenneth G. L. (independent Consultant, Esc, Uk) Название: Safety critical systems handbook ISBN: 0128207000 ISBN-13(EAN): 9780128207000 Издательство: Elsevier Science Цена: 21222.00 р. Наличие на складе: Есть у поставщикаПоставка под заказ. Описание:
The Safety Critical Systems Handbook: A Straightforward Guide to Functional Safety: IEC 61508 (2010 Edition), IEC 61511 (2015 Edition) and Related Guidance, Fifth Edition presents the latest guidance on safety-related systems that guard workers and the public against injury and death, also discussing environmental risks. This comprehensive resource has been fully revised, with additional material on risk assessment, cybersecurity, COMAH and HAZID, published guidance documents/standards, quantified risk assessment and new worked examples. The book provides a comprehensive guide to the revised IEC 61508 standard as well as the 2016 IEC 61511.
This book will have a wide readership, not only in the chemical and process industries, but in oil and gas, power generation, avionics, automotive, manufacturing and other sectors. It is aimed at most engineers, including those in project, control and instrumentation, design and maintenance disciplines.
Provides the only comprehensive guide to IEC 61508 and 61511 (updated for 2016) that ensures engineers are compliant with the latest process safety systems design and operation standards
Presents a real-world approach that helps users interpret the standard, with new case studies and best practice design examples using revised standards
Covers applications of the standard to device design
Описание: Here is comprehensive coverage of reliability issues and their countermeasures in large-scale digital control systems, from the hardware and software in digital systems to the human operators who supervise the overall process of large-scale systems.
Описание: The technology of neural networks has attracted much attention in recent years. Their ability to learn nonlinear relationships is widely appreciated and is utilized in many different types of applications; modelling of dynamic systems, signal processing, and control system design being some of the most common. The theory of neural computing has matured considerably over the last decade and many problems of neural network design, training and evaluation have been resolved. This book provides a comprehensive introduction to the most popular class of neural network, the multilayer perceptron, and shows how it can be used for system identification and control. It aims to provide the reader with a sufficient theoretical background to understand the characteristics of different methods, to be aware of the pit-falls and to make proper decisions in all situations. The subjects treated include: System identification: multilayer perceptrons; how to conduct informative experiments; model structure selection; training methods; model validation; pruning algorithms. Control: direct inverse, internal model, feedforward, optimal and predictive control; feedback linearization and instantaneous-linearization-based controllers. Case studies: prediction of sunspot activity; modelling of a hydraulic actuator; control of a pneumatic servomechanism; water-level control in a conical tank. The book is very application-oriented and gives detailed and pragmatic recommendations that guide the user through the plethora of methods suggested in the literature. Furthermore, it attempts to introduce sound working procedures that can lead to efficient neural network solutions. This will make the book invaluable to the practitioner and as a textbook in courses with a significant hands-on component.
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