This book describes the challenges that critical infrastructure systems face, and presents state of the art solutions to address them. How can we design intelligent systems or intelligent agents that can make appropriate real-time decisions in the management of such large-scale, complex systems? What are the primary challenges for critical infrastructure systems? The book also provides readers with the relevant information to recognize how important infrastructures are, and their role in connection with a society's economy, security and prosperity. It goes on to describe state-of-the-art solutions to address these points, including new methodologies and instrumentation tools (e.g. embedded software and intelligent algorithms) for transforming and optimizing target infrastructures. The book is the most comprehensive resource to date for professionals in both the private and public sectors, while also offering an essential guide for students and researchers in the areas of modeling and analysis of critical infrastructure systems, monitoring, control, risk/impact evaluation, fault diagnosis, fault-tolerant control, and infrastructure dependencies/interdependencies. The importance of the research presented in the book is reflected in the fact that currently, for the first time in human history, more people live in cities than in rural areas, and that, by 2050, roughly 70% of the world's total population is expected to live in cities.

Under certain conditions liquids can change to the vapour phase; this is cavitation, and it imposes serious limitations on pumps and pipelines if damage is to be avoided.
Improved understanding of pump cavitation in recent years has enabled a limited amount to be permitted to obtain the maximum possible amount of suction, but in these circumstances it is very important to have some knowleddge of the relationship between the intake operating conditions and the cavitation field, and between the amount of cavitation and the extent of any material damage which can be expected.
The Avoidance of Cavitation Damage is concerned with the extensive field referred to by the term cavitation, which involves industrial activities and is of immense economic significance. At its simplest, it is about damage limitation and damage avoidance in pumps and their installations, and it is the first book made available in the English language which has this specific aim. It deals with conventional rotodynamic and self-priming side-channel pumps, as well as both reciprocating and rotary positive-displacement pumps.
The Avoidance of Cavitation Damage can be wholeheartedly recommended to all practising engineers concerned with the design or use of pumps - indeed, it should become a standard reference work for all concerned with pumps and their use.

This succinct text explains how to assess and handle technical risk, schedule risk, and cost risk efficiently and effectively-enabling engineering professionals to anticipate failures regardless of system complexity-highlighting opportunities to turn failure into success. Introduces the term "risk engineering" for controlling technical risk through identification, analysis, design, and process management What Every Engineer Should Know About Risk Engineering and Management reveals strategies for identifying the limitations and breaking points of engineering designs predicts the likelihood of designs going wrong and considers the consequences bases acceptable risk on the extent to which material strength, engineering design, manufacturing process, and operational environments can be controlled shows how to find the initiators and major contributors to cost risk and avoid wasting scarce resources illustrates how to identify critical paths to deliver products within a specified period of time presents a framework for integrated risk management aided by computer simulation emphasizes failure mode and effect analysis (FMEA) includes fault and event tree analysis describes Taguchi's robust design defines life cycle cost management (LCCM) and more What Every Engineer Should Know About Risk Engineering and Management is a vital, forward-looking reference for mechanical, civil, electrical and electronics, materials, chemical, mineral, cost, quality, reliability, industrial, developmental, safety, forensic, and consulting engineers; architects; project managers; and a superb text for upper-level undergraduate, graduate, and continuing-education students in these disciplines.

Textbook for a methods course or reference for an experimenter who is mainly interested in data analyses rather than in the mathematical development of the procedures. Provides the most useful statistical techniques, not only for the normal distribution, but for other important distributions, such a

When humans are well, they are in a state where body, mind, and spirit are holistically integrated, and, as a result, are healthy, happy, and resilient. The same can be said for a thriving business. Industrial and Manufacturing Wellness: The Complete Guide to Successful Enterprise Asset Management explains how to use reliability engineering principles to design and build companies that are robust, reliable, self-improving, integrated business systems best suited for achieving optimal results. Written by asset management expert Mike Sondalini, creator and author of The Plant Wellness Way, this revolutionary work goes beyond basic plant management. Instead, it reveals a completely new way to engineer and implement business processes and work flow strategies that deliver overall operational excellence. The author introduces risk management, decision-making methods that prove the worth or not of a change before it is initiated in the organization, thus protecting a company from making the wrong choices. His universally applicable process improvement concepts empower readers to take a system-wide approach that can be repeated infinitely to deliver maximum success. Features Presents the first reliability engineering-based design and business process management solution. Includes a complete methodology to deliver enterprise asset management, plant maintenance, and equipment reliability. Shows how to maximize production uptime while minimizing costs and, uniquely, how to sustain those improvements. Incorporates the ISO 55001 framework in re-engineering business processes for operational success. Uses tips to reduce business processes to the fewest, simplest, quickest, safest, and most productive solutions. "Mike created what could basically be referred to as an ISO55001 implementation manual, with a big picture holistic engineering reliability approach to asset management. You will be surprised how he did that while also expanding on his existing 'Plant Wellness Way' methodology in just 286 pages! I also like how he emphasized throughout the book, attention to life cycle cost. Something that has been lacking in our industry. A must-read in today's world." -Don Fitchett, Business Industrial Network (BIN95.com)"Mike Sondalini's new book Industrial and Manufacturing Wellness is one of the best in our field that I have seen." -Len Bradshaw, Editor of Asset Management and Maintenance Journal(AMMJ)Mike Sondalini, MBA, CP Eng., is an expert in information and knowledge management, risk management and elimination, quality management systems, asset management, and operational excellence and reliability engineering. His immersion in these areas led him to create "The Plant Wellness Way," a life cycle asset management methodology. He subsequently coined the term "Industrial and Manufacturing Wellness" to depict a holistic, business-wide system of reliability. Introduction Reliability of Work, Processes, and Machines The Physics of Failure Variability in Outcomes Preventing Life-Cycle Risks Process 1-Identify Business and Operational Risks Asset Management For Plant Wellness Operating Equipment Risk Assessment Process 2-Order Risks by Importance Removing Risks And Raising Reliability Chance Reduction Risk Management Selecting Reliability Strategy Process 3-Numerate Risk Elimination Options The Accuracy-Controlled Enterprise Precision Maintenance Skills and Standards Process 4-Introduce Risk Control Solutions Reliability Growth Measuring to Improve Performance The Chance of Success Process 5-Control Operational Processes Failure Root Cause Prevention Change Management for Workplace Innovation Plant Wellness Index Process 6-Synthesize Ideas to Continuously Improve Bibliography Index

The Reliability Data Handbook is exceptional in both its approach and coverage, giving a uniquely comprehensive account of the subject. Component failure rate data are a vital part of any reliability or safety study and highly relevant to the engineering community across many disciplines. The Reliability Data Handbook focuses on the complete process of data collection, analysis and quality control. The subject of reliability data is covered in geat depth, reflecting the author's considerable experience and expertise in this field. Rarely is reliability data 'clean'. There are problems in its collection due to poor recording of the exact cause of failure. The time to failure of many items in the data collection scheme may not be known due to censoring and truncation issues. For new equipment or very reliable equipment there may be no data available at all. All of these practical facets of data used in real--world reliability studies are contained in this book. Analysis methods are not presented in a clinical way -- they are put into context, considering the difficulties that can arise when performing assessments of actual systems. A unique feature is that the text is always fully illustrated with worked examples, many from the author's own experience in industry. CONTENTS INCLUDE Introduction -- objectives and scope Component, equipment and system reliability, reliability models for non--repairable and repairable equipment Failure patterns, failure rate calculations Discreet and continuous distributions, scatter diagrams and histograms The Weibull distribution and Weibull analysis The Duane reliability growth model Reliability forecasting, basic models, data requirements Reliability statistics, sources of generic data, tables of equipment and component failure rates Data collection and quality control Reliability testing, inspection and maintenance decision analysis.

The origin of this book is the compelling evidence that a high proportion of machinery-related deaths and injuries are attributable to genuine and serious risks originating within machine design and construction. This trend continues despite significant legal obligations, notably the European regulatory regime giving effect to the Machinery Directive (among others), and a substantial body of specialist knowledge originating in the disciplines of human factors and safety engineering. Grounded in empirical research with machinery manufacturers, this book aims to elucidate the factors and processes shaping firms' performance for machinery safety, and considers their compatibility with legal obligations. Through a unique blending of rich empirical data coupled with safety, human factors, socio-legal and learning scholarship, the book provides both a nuanced account of firms' performance for machinery safety, and makes conceptual and theoretical contributions to understanding and explaining their performance. Specifically, the book elucidates the role of knowledge and motivational factors - and how these are constituted - in shaping firms' performance. It reveals the multiple state and non-state influences that create plural responses among manufacturing firms, which typically operate in supply chains and networks, and often globally. These insights provide the foundations to enhance regulatory design, and the book's conclusion recommends some innovative directions for regulatory interventions to sustain the safe design and construction of machinery.

Today, digital technologies represent an absolute must when it comes to creating new products and factories. However, day-to-day product development and manufacturing engineering operations have still only unlocked roughly fifty percent of the "digital potential". The question is why? This book provides compelling answers and remedies to that question. Its goal is to identify the main strengths and weaknesses of today's set-up for digital engineering working solutions, and to outline important trends and developments for the future. The book concentrates on explaining the critical basics of the individual technologies, before going into deeper analysis of the virtual solution interdependencies and guidelines on how to best align them for productive deployment in industrial and collaborative networks. Moreover, it addresses the changes needed in both, technical and management skills, in order to avoid fundamental breakdowns in running information technologies for virtual product creation in the future.

The book is written for anyone who wants to design experiments, carry them out, and analyze the results. The authors provide a clear-cut, practical approach to designing experiments in any discipline and explain the general principles upon which such design is based. The reader then can apply these theories to any specific problem in his own work. No advanced mathematics is needed to utilize Design of Experiments - the necessary statistical concepts and briefly reviewed in the first two chapters. Subsequent chapters explain why and how the design of experiments in an intrinsic part of the scientific method, what problems will be encountered by the researcher in setting up his experiment and how to deal with them, and how to accurately analyze the result in terms of the sample taken and the method used. Each chapter includes problems encountered in specific fields so that the reader can test himself on his comprehension of the material. The diversity of the applications that these problems encompass also allows the reader to grasp the basic principles that unite the statistical approach to experiment design. Researchers and students in engineering, agriculture, pharmacy, veterinary science, chemistry, biology, the social; sciences, statistics, mathematics, or any other field that requires the design, solution, and analysis of problems will find this book absolutely indispensable.

Reliability and Maintenance: Networks and Systems gives an up-to-date presentation of system and network reliability analysis as well as maintenance planning with a focus on applicable models. Balancing theory and practice, it presents state-of-the-art research in key areas of reliability and maintenance theory and includes numerous examples and exercises. Every chapter starts with theoretical foundations and basic models and leads to more sophisticated models and ongoing research.

The first part of the book introduces structural reliability theory for binary coherent systems. Within the framework of these systems, the second part covers network reliability analysis. The third part presents simply structured maintenance policies that may help with the cost-optimal scheduling of preventive maintenance. Each part can be read independently of one another.

Suitable for researchers, practitioners, and graduate students in engineering, operations research, computer science, and applied mathematics, this book offers a thorough guide to the mathematical modeling of reliability and maintenance. It supplies the necessary theoretical and practical details for readers to perform reliability analyses and apply maintenance policies in their organizations.

Since the German edition of this book, the topic of risk has experienced even greater attention, not only in the world of science but also in other fields, such as economics and politics. Therefore, many new publications have evolved. To keep with the idea of an encyclopedia for the topic of risk, this book has been completely reworked. Not only are many updated examples included in chapter "Risks and disasters" but also new chapters have been introduced, such as the chapter "Indetermination and risk." This new chapter was developed since the question "Is it possible for risks to be completely eliminated, and if not why?" has become a major point of c- cern. Therefore, especially in this chapter, the focus of the book has - tended from a simple mathematical or engineering point of view to include much broader concepts. Here, not only aspects of system theory have to be considered, but also some general philosophical questions start to inf- ence the considerations of the topic of risk. The main goal of this edition, however, is not only the extension and revision of the book, but also the translation into the English language to allow more readers access to the ideas of the book. The author deeply hopes that the success the book made in the German edition continues and that readers experience a major gain from reading the book.

In today's sophisticated world, reliability stands as the ultimate arbiter of quality. An understanding of reliability and the ultimate compromise of failure is essential for determining the value of most modern products and absolutely critical to others, large or small. Whether lives are dependent on the performance of a heat shield or a chip in a lab, random failure is never an acceptable outcome.
Written for practicing engineers, Practical Reliability Engineering and Analysis for System Design and Life-Cycle Sustainment departs from the mainstream approach for time to failure-based reliability engineering and analysis. The book employs a far more analytical approach than those textbooks that rely on exponential probability distribution to characterize failure. Instead, the author, who has been a reliability engineer since 1970, focuses on those probability distributions that more accurately describe the true behavior of failure. He emphasizes failure that results from wear, while considering systems, the individual components within those systems, and the environmental forces exerted on them.

Dependable Products Are No Accident: A Clear Path to the Creation of Consistently Reliable Products
Taking a step-by-step approach that is augmented with current tables to configure wear, load, distribution, and other essential factors, this book explores design elements required for reliability and dependable systems integration and sustainment. It then discusses failure mechanisms, modes, and effects?as well as operator awareness and participation?and also delves into reliability failure modeling based on time-to-failure data considering a variety of approaches.
From there, the text demonstrates and then considers the advantages and disadvantages for the stress-strength analysis approach, including various phases of test simulation. Taking the practical approach still further, the author covers reliability-centered failure analysis, as well as condition-based and time-directed maintenance.
As a science, reliability was once considered the plaything of statisticians reporting on time-to-failure measurements, but in the hands of a practicing engineer, reliability is much more than the measure of an outcome; it is something to be achieved, something to quite purposely build into a system. Reliability analysis of mechanical design for structures and dynamic components demands a thorough field-seasoned approach that first looks to understand why a part fails, then learns how to fix it, and finally learns how to prevent its failing. Ultimately, reliability of mechanical design is based on the relationship between stress and strength over time. This book blends the common sense of lessons learned with mechanical engineering design and systems integration, with an eye toward sustainment. This is the stuff that enables organizations to achieve products valued for their world-class reliability.

This book offers unique insight on structural safety and reliability by combining computational methods that address multiphysics problems, involving multiple equations describing different physical phenomena and multiscale problems, involving discrete sub-problems that togetherdescribe important aspects of a system at multiple scales. The book examines a range of engineering domains and problems using dynamic analysis, nonlinear methods, error estimation, finite element analysis and other computational techniques.

This book also:

. Introduces novel numerical methods

. Illustrates new practical applications

. Examines recent engineering applications

. Presents up-to-date theoretical results

. Offers perspective relevant to a wide audience, including teaching faculty/graduate students, researchers and practicing engineers."

Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field. This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.

"Normal Accidents" analyzes the social side of technological risk. Charles Perrow argues that the conventional engineering approach to ensuring safety--building in more warnings and safeguards--fails because systems complexity makes failures inevitable. He asserts that typical precautions, by adding to complexity, may help create new categories of accidents. (At Chernobyl, tests of a new safety system helped produce the meltdown and subsequent fire.) By recognizing two dimensions of risk--complex versus linear interactions, and tight versus loose coupling--this book provides a powerful framework for analyzing risks and the organizations that insist we run them.

The first edition fulfilled one reviewer's prediction that it "may mark the beginning of accident research." In the new afterword to this edition Perrow reviews the extensive work on the major accidents of the last fifteen years, including Bhopal, Chernobyl, and the Challenger disaster. The new postscript probes what the author considers to be the "quintessential 'Normal Accident'" of our time: the Y2K computer problem.

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, analysis of tests and failure, quality function deployment, accelerated life tests, among others), the process of gathering information, its validation, its reliability process, and techniques for data analysis. * The techniques applied to the integration of human resources in the process of quality assurance, such as managers and operators' participation, training, and training processes. * Use of information and communications technologies, software, and programs implemented to guarantee the quality of the products in the production systems. ISO standards and policies that are used for quality management and monitoring.

This volume addresses a variety of issues on traffic safety policy, ranging from issues of climate change, urban equity, and transport safety, in a broad global and societal context, while retaining situation-specific details. Written by international experts on issues of transportation and traffic safety, it will be of special interest to advanced researchers in the engineering and planning disciplines working on these issues as well as policy makers concerned with setting up institutions and legislations for traffic safety.

Engineering Reliability and Risk Assessment explains how to improve the performance of a system using the latest risk and reliability models. Against a backdrop of increasing availability of industrial data, and ever-increasing global commercial competition, the standards for optimal efficiency with minimum hazards keep improving. Topics explained include Effective strategies for the maintenance of the mechanical components of a system, How to schedule necessary interventions throughout the product life cycle, How to understand the structure and cost of complex systems, Planning a schedule to improve the reliability and life of the system, software, system safety and risk informed asset management, and more.

This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.

This book discusses relevant topics in field of corrosion, from sensing strategies to modeling of control processes, corrosion prevention, detection of corrosion initiation, prediction of corrosion growth and evolution, to maintenance practices and return on investment.Written by leading international experts, it combines mathematical and scientific rigor with multiple case studies, examples, colorful images, case studies and numerous references exploring the essentials of corrosion in depth. It appeals to a wide readership, including corrosion engineers, managers, students and industrial and government staff, and can serve as a reference text for courses in materials, mechanical and aerospace engineering, as well as anyone working on corrosion processes.

This book reports the most recent, advanced, successful, and real applications of ergonomics in order to improve the human well-being and performance in a short term, as well as the organizational performance in a long term. The book is organized as follows: Physical Ergonomics. This section reports case studies where physical risk factors are presented in the workplace, such as physical risk factors including uncomfortable body postures, repetitive movements, force application, manual material handling, and physical environmental conditions. In addition, case studies must report applications from physical ergonomics methods, for instance, RULA, REBA, OWAS, NIOSH, JSI, Suzane Rodgers, ERIN, among others. Cognitive Ergonomics. This section reports the implementation of ergonomic tools, techniques, and methods in real case studies. These applications are aimed to know, decrease, and control cognitive and psychological risk factors, such as mental workload, information processing, situation awareness, human error identification, and interface analysis. These applications may include the following methods NASA-TLX, SWAT, CWA, SHERPA, HET, TAFEI, SAGAT, SART, SACRI, QUIS, SUMI, to mention a few of them. Macro-ergonomics. This section is focused on the analysis, design, and evaluation of work systems. It reports case studies where risk factors are beyond a specific workstation. These risk factors may include supervision styles, teamwork management, task variety, social relationships, organizational culture, organizational communication, technology, work schedules, and motivation, among others. In addition, case studies report the application of macro-ergonomic methods, such as MOQS, focus group, participatory ergonomics, HITOP, MAS, and MEAD, among others.

Discusses advances in the field of reliability engineering with real-life applications. Covers consecutive-type reliability structures and applications in the optimization of telecommunication networks, and complex infrared detecting systems. Discusses probabilistic approaches and statistical methods to investigate the performance and the design of reliability structures. Provides simulation-based analyses and real data case studies related to reliability engineering.

Extensively updated for the second edition, this handy guide covers the safety engineering of ship-shaped offshore installations at every stage of design, construction, operation, lifetime healthcare and decommissioning. New sections cover additional types of offshore structures, including offshore power plants, as well as cutting-edge technologies and all the latest advances in the field. The text focuses on minimising accidents and the effects of extreme conditions, with new chapters covering earthquakes, hurricanes and terrorist attacks, as well as traditional types of accidental events such as hull girder collapse, collisions, fires and explosions. This is an invaluable resource for students who will be approaching the subject for the first time as well as practising engineers and researchers.

Discover a comprehensive set of tools and techniques for analyzing the impact of uncertainty on large-scale engineered systems. Providing accessible yet rigorous coverage, it showcases the theory through detailed case studies drawn from electric power application problems, including the impact of integration of renewable-based power generation in bulk power systems, the impact of corrupted measurement and communication devices in microgrid closed-loop controls, and the impact of components failures on the reliability of power supply systems. The case studies also serve as a guide on how to tackle similar problems that appear in other engineering application domains, including automotive and aerospace engineering. This is essential reading for academic researchers and graduate students in power systems engineering, and dynamic systems and control engineering.

This book describes a new control design technique called Coefficient Diagram Method (CDM), whereby practical control engineers without deep control theories and mathematics background can design a good controller for their specific plants. In addition, control experts can solve some complicated design problems. Since the CDM was first introduced in 1998, it reveals from the literature that CDM has provided successful controller designs for a variety of practical control problems. In the last two decades, a great deal of research has been done on CDM, while a growing number of researchers want to learn and utilize the method. However, there has been no textbook to learn it systematically so far. This book is motivated by such a need. It is also suitable as a textbook or reference book for master programs in control engineering.