This update of a classic text explains new and proven methods for the development and production of reliable equipment in engineering. It covers the latest technological advances, methodology and international standards.
Market_Desc: · Practising electronic, electrical and mechanical reliability engineers and managers· Engineers studying for the ASQ or IQA CRE exams· Undergraduate engineering students taking courses in quality assurance or reliability Special Features: · Updates a classic with coverage of the latest developments in reliability technology and methodology· Designed to meet the requirements of the American Society of Quality (ASQ) examinations· Covers recent developments in international standardization and provides advice on standards application· Enhanced sections on mechanical and electronic testing describing relevant design techniques and test methods along with related causes of failure· Expanded coverage of testing in development and manufacture, included detailed treatment of the accelerated test method· Updated and expanded reference section About The Book: Following the practical approach adopted in previous editions, this updated text provides coverage of the latest technological advances, methodology and international standards. The fourth edition examines reliability analysis methods such as prediction, Petri nets, and the m(t) method for failure data analysis. This text is designed to fulfill the requirements of the American Society of Quality (ASQ) qualifying exams in reliability engineering.
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.
An introduction to reliability engineering and management. Consolidates and adds to the practical aspects of the first edition, particularly the sections on reliability prediction, demonstration, measurement, and testing. Fulfills the requirements of the qualifiying exams for the Institute of Quality Assurance (UK) and the American Society for Quality Control.
"This book strikes a good balance combining both reliability mathematics and reliability engineering providing the basic knowledge needed for engineering students and reliability engineers at the earlier stages of their careers"--
The first book that explains why managing engineering is more difficult, more demanding and more important than managing any other human activity in modern society. It explains how, by adhering to the principles taught by Peter F. Drucker in his landmark book "The Practice of Management," managers can exploit the full potentials of their peoples' talents and of changing technologies, methods and markets. It brings together the whole range of methods used by the world's best performing engineering companies, including research, design, development, testing, production and maintenance. The philosophy and methods for achieving excellence in quality and reliability are fully described. The book offers fresh insights into a wide range of current engineering management issues, including education, MBA training, quality and safety standards and the roles of institutions, cultures and governments in engineering.
Designed to be used in engineering education and industrial practice, this book provides a comprehensive presentation of reliability engineering for optimized design engineering of products, parts, components and equipment.
Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers presents a comprehensive, up-to-date description of multi-state system (MSS) reliability as a natural extension of classical binary-state reliability. It presents all essential theoretical achievements in the field, but is also practically oriented. New theoretical issues are described, including: • combined Markov and semi-Markov processes methods, and universal generating function techniques; • statistical data processing for MSSs; • reliability analysis of aging MSSs; • methods for cost-reliability and cost-availability analysis of MSSs; and • main definitions and concepts of fuzzy MSS. Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers also discusses life cycle cost analysis and practical optimal decision making for real world MSSs. Numerous examples are included in each section in order to illustrate mathematical tools. Besides these examples, real world MSSs (such as power generating and transmission systems, air-conditioning systems, production systems, etc.) are considered as case studies. Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers also describes basic concepts of MSS, MSS reliability measures and tools for MSS reliability assessment and optimization. It is a self-contained study resource and does not require prior knowledge from its readers, making the book attractive for researchers as well as for practical engineers and industrial managers.