Vulnerable Systems

The safe management of the complex distributed systems and critical infrastructures which constitute the backbone of modern industry and society entails identifying and quantifying their vulnerabilities to design adequate protection, mitigation, and emergency action against failure. In practice, there is no fail-safe solution to such problems and various frameworks are being proposed to effectively integrate different methods of complex systems analysis in a problem-driven approach to their solution. Vulnerable Systems reflects the current state of knowledge on the procedures which are being put forward for the risk and vulnerability analysis of critical infrastructures. Classical methods of reliability and risk analysis, as well as new paradigms based on network and systems theory, including simulation, are considered in a dynamic and holistic way. Readers of Vulnerable Systems will benefit from its structured presentation of the current knowledge base on this subject. It will enable graduate students, researchers and safety and risk analysts to understand the methods suitable for different phases of analysis and to identify their criticalities in application.

ZIO, ENRICO

Kröger, Wolfgang

Reference

Springer

Explores methods for the representation and treatment of uncertainty in risk assessment In providing guidance for practical decision-making situations concerning high-consequence technologies (e.g., nuclear, oil and gas, transport, etc.), the theories and methods studied in Uncertainty in Risk Assessment have wide-ranging applications from engineering and medicine to environmental impacts and natural disasters, security, and financial risk management. The main focus, however, is on engineering applications. While requiring some fundamental background in risk assessment, as well as a basic knowledge of probability theory and statistics, Uncertainty in Risk Assessment can be read profitably by a broad audience of professionals in the field, including researchers and graduate students on courses within risk analysis, statistics, engineering, and the physical sciences. Uncertainty in Risk Assessment: <ul>
<li>Illustrates the need for seeing beyond probability to represent uncertainties in risk assessment contexts.</li> <li>Provides simple explanations (supported by straightforward numerical examples) of the meaning of different types of probabilities, including interval probabilities, and the fundamentals of possibility theory and evidence theory.</li> <li>Offers guidance on when to use probability and when to use an alternative representation of uncertainty.</li> <li>Presents and discusses methods for the representation and characterization of uncertainty in risk assessment.</li> <li>Uses examples to clearly illustrate ideas and concepts.</li> </ul>

Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods

Business & Money

Aven, Terje

Baraldi, Piero

Flage, Roger

Economics

wiley

RELIABILITY ANALYSIS, SAFETY ASSESSMENT AND OPTIMIZATION RELIABILITY ANALYSIS, SAFETY ASSESSMENT AND OPTIMIZATION METHODS AND APPLICATIONS IN ENERGY SYSTEMS AND OTHER APPLICATIONS This book is a comprehensive overview of the recently developed methods for assessing and optimizing system reliability and safety. It consists of two main parts, for assessment and optimization methods, respectively. The former covers multi-state system modelling and reliability evaluation, Markov processes, Monte Carlo simulation and uncertainty treatments under poor knowledge. The reviewed methods range from piecewise-deterministic Markov process to belief functions. The latter covers mathematical programs, evolutionary algorithms, multi-objective optimization and optimization under uncertainty. The reviewed methods range from non-dominated sorting genetic algorithm to robust optimization. This book also includes the applications of the assessment and optimization method on real world cases, particularly for the reliability and safety of renewable energy systems. From this point of view, the book bridges the gap between theoretical development and engineering practice.

System Reliability Assessment and Optimization: Methods and Applications (Quality and Reliability Engineering Series)

Science & Math

Li, Yan-Fu

Technology

The safe management of the complex distributed systems and critical infrastructures which constitute the backbone of modern industry and society entails identifying and quantifying their vulnerabilities to design adequate protection, mitigation, and emergency action against failure. In practice, there is no fail-safe solution to such problems and various frameworks are being proposed to effectively integrate different methods of complex systems analysis in a problem-driven approach to their solution. Vulnerable Systems reflects the current state of knowledge on the procedures which are being put forward for the risk and vulnerability analysis of critical infrastructures. Classical methods of reliability and risk analysis, as well as new paradigms based on network and systems theory, including simulation, are considered in a dynamic and holistic way. Readers of Vulnerable Systems will benefit from its structured presentation of the current knowledge base on this subject. It will enable graduate students, researchers and safety and risk analysts to understand the methods suitable for different phases of analysis and to identify their criticalities in application.

The Monte Carlo Simulation Method for System Reliability and Risk Analysis (Springer Series in Reliability Engineering)

This book illustrates the Monte Carlo simulation method and its application to reliability and system engineering. Conveys a sound understanding of of the fundamentals of Monte Carlo sampling and simulation and its application for realistic system modeling.

Computers & Technology

Computer Science

The necessity of expertise for tackling the complicated and multidisciplinary issues of safety and risk has slowly permeated into all engineering applications so that risk analysis and management has gained a relevant role, both as a tool in support of plant design and as an indispensable means for emergency planning in accidental situations. This entails the acquisition of appropriate reliability modeling and risk analysis tools to complement the basic and specific engineering knowledge for the technological area of application. Aimed at providing an organic view of the subject, this book provides an introduction to the principal concepts and issues related to the safety of modern industrial activities. It also illustrates the classical techniques for reliability analysis and risk assessment used in current practice.

An Introduction to the Basics of Reliability and Risk Analysis (Quality, Reliability and Engineering Statistics)

Mathematics

World Scientific Publishing Company

This book illustrates a number of modelling and computational techniques for addressing relevant issues in reliability and risk analysis. In particular, it provides: i) a basic illustration of some methods used in reliability and risk analysis for modelling the stochastic failure and repair behaviour of systems, e.g. the Markov and Monte Carlo simulation methods; ii) an introduction to Genetic Algorithms, tailored to their application for RAMS (Reliability, Availability, Maintainability and Safety) optimization; iii) an introduction to key issues of system reliability and risk analysis, like dependent failures and importance measures; and iv) a presentation of the issue of uncertainty and of the techniques of sensitivity and uncertainty analysis used in support of reliability and risk analysis.The book provides a technical basis for senior undergraduate or graduate courses and a reference for researchers and practitioners in the field of reliability and risk analysis. Several practical examples are included to demonstrate the application of the concepts and techniques in practice.

COMPUTATIONAL METHODS FOR RELIABILITY AND RISK ANALYSIS (Quality, Reliability and Engineering Statistics)

Reliability and safety are fundamental attributes of any modern technological system. To achieve this, diverse types of protection barriers are placed as safeguards from the hazard posed by the operation of the system, within a multiple-barrier design concept. These barriers are intended to protect the system from failures of any of its elements, hardware, software, human and organizational.Correspondingly, the quantification of the probability of failure of the system and its protective barriers, through reliability and risk analyses, becomes a primary task in both the system design and operation phases.This exercise book serves as a complementary tool supporting the methodology concepts introduced in the books “An introduction to the basics of reliability and risk analysis” and “Computational methods for reliability and risk analysis” by Enrico Zio, in that it gives an opportunity to familiarize with the applications of classical and advanced techniques of reliability and risk analysis.This book is also available as a set with Computational Methods for Reliability and Risk Analysis and An Introduction to the Basics of Reliability and Risk Analysis.

BASICS OF RELIABILITY AND RISK ANALYSIS: WORKED OUT PROBLEMS AND SOLUTIONS (Quality, Reliability and Engineering Statistics)

Cadini, Francesco

Reliability and safety are fundamental attributes of any modern technological system. To achieve this, diverse types of protection barriers are placed as safeguards from the hazard posed by the operation of the system, within a multiple-barrier design concept. These barriers are intended to protect the system from failures of any of its elements, hardware, software, human and organizational.Correspondingly, the quantification of the probability of failure of the system and its protective barriers, through reliability and risk analyses, becomes a primary task in both the system design and operation phases.This exercise book serves as a complementary tool supporting the methodology concepts introduced in the books ';An introduction to the basics of reliability and risk analysis'; and ';Computational methods for reliability and risk analysis'; by Enrico Zio, in that it gives an opportunity to familiarize with the applications of classical and advanced techniques of reliability and risk analysis.

Enrico Zio's Reliability & Risk Collection (Quality, Reliability and Engineering Statistics)

See the best price to sell, buy, or rent books by ZIO, ENRICO. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by ZIO, ENRICO

See the best price to sell, buy, or rent books by ZIO, ENRICO. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Vulnerable Systems

Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods

System Reliability Assessment and Optimization: Methods and Applications (Quality and Reliability Engineering Series)

Vulnerable Systems

The Monte Carlo Simulation Method for System Reliability and Risk Analysis (Springer Series in Reliability Engineering)

An Introduction to the Basics of Reliability and Risk Analysis (Quality, Reliability and Engineering Statistics)

COMPUTATIONAL METHODS FOR RELIABILITY AND RISK ANALYSIS (Quality, Reliability and Engineering Statistics)

BASICS OF RELIABILITY AND RISK ANALYSIS: WORKED OUT PROBLEMS AND SOLUTIONS (Quality, Reliability and Engineering Statistics)

Enrico Zio's Reliability & Risk Collection (Quality, Reliability and Engineering Statistics)