Reliability Analysis For Engineers

Singh, Jain, and Tyagi present the key concepts of risk and reliability that apply to a wide array of problems in civil and environmental engineering.

In ordinary life "reliability" is an ephemeral but desirable property of a machine or service that is generally judged in a very subjective manner. For an engineer reliability has large cost and sometimes safety implications; it is therefore very important to be able to quantify it. This bookis an introduction to reliability analysis aimed at engineers (not statisticians). As such it begins by assuming no prior statistical knowledge. It teaches by examples taken from engineering problems. Exercises are built around real machines and events and the solutions given illuminate the subject.Being able to quantify reliability allows engineers to quantify its financial implications in terms of maintenance policies, running costs, and spares stockholding. In safety critical situations (transport or military equipment) the implications are wider. In any complex project it is extremelyimportant to be able to make reliability predictions.

Reliability analysis is concerned with the analysis of devices and systems whose individual components are prone to failure. This textbook presents an introduction to reliability analysis of repairable and non-repairable systems. It is based on courses given to both undergraduate and graduate students of engineering and statistics as well as in workshops for professional engineers and scientists. As aresult, the book concentrates on the methodology of the subject and on understanding theoretical results rather than on its theoretical development. An intrinsic aspect of reliability analysis is that the failure of components is best modelled using techniques drawn from probability and statistics. Professor Zacks covers all the basic concepts required from these subjects and covers the main modern reliability analysis techniques thoroughly. These include: the graphical analysis of life data, maximum likelihood estimation and bayesian likelihood estimation. Throughout the emphasis is on the practicalities of the subject with numerous examples drawn from industrial and engineering settings.

"Examining reliability, availability, and risk analysis and reviewing in probability and statistics essential to understanding reliability methods, this outstanding volume describes day-to-day techniques used by practicing engineers -- discussing important reliability aspects of both components and complex systems. "

Striking a balance between the use of computer-aided engineering practices and classical life testing, this reference expounds on current theory and methods for designing reliability tests and analyzing resultant data through various examples using Microsoft® Excel, MINITAB, WinSMITH, and ReliaSoft software across multiple industries. The book disc

In ordinary life "reliability" is an ephemeral but desirable property of a machine or service that is generally judged in a very subjective manner. But for an engineer, reliability has large financial implications in terms of maintenance policies, running costs, and spares stockholding. Insafety critical situations (transport or military equipment), the implications are wider; therefore, it is very important to be able to quantify reliability. This book is an introduction to reliability analysis. Since it is aimed at engineers, it begins by assuming no prior statistical knowledge.It teaches by example taken from engineering problems. Exercises are built around real machines and events, and the solutions given illuminate the subject. It is the first book of its kind aimed at those for whom reliability analysis has far-reaching consequences.

Gas and Oil Reliability Engineering: Modeling and Analysis, Second Edition, provides the latest tactics and processes that can be used in oil and gas markets to improve reliability knowledge and reduce costs to stay competitive, especially while oil prices are low. Updated with relevant analysis and case studies covering equipment for both onshore and offshore operations, this reference provides the engineer and manager with more information on lifetime data analysis (LDA), safety integrity levels (SILs), and asset management. New chapters on safety, more coverage on the latest software, and techniques such as ReBi (Reliability-Based Inspection), ReGBI (Reliability Growth-Based Inspection), RCM (Reliability Centered Maintenance), and LDA (Lifetime Data Analysis), and asset integrity management, make the book a critical resource that will arm engineers and managers with the basic reliability principles and standard concepts that are necessary to explain their use for reliability assurance for the oil and gas industry. Provides the latest tactics and processes that can be used in oil and gas markets to improve reliability knowledge and reduce costs Presents practical knowledge with over 20 new internationally-based case studies covering BOPs, offshore platforms, pipelines, valves, and subsea equipment from various locations, such as Australia, the Middle East, and Asia Contains expanded explanations of reliability skills with a new chapter on asset integrity management, relevant software, and techniques training, such as THERP, ASEP, RBI, FMEA, and RAMS

This book is intended for the engineer or engineering student with little or no prior background in reliability. Its purpose is to provide the background material and guidance necessary to comprehend and carry out all the tasks associated with a reliability program from specification generation to final demonstration of reliability achieved. Most available texts on reliability concentrate on the mathematics and statistics used for reliability analysis, evaluation, and demonstration. They are more often suited more for the professional with a heavier mathematical background that most engineers have, and more often than not, ignore or pay short-shrift to basic engineering design and organizational efforts associated with a reliability program. A reliability engineer must be familiar with both the mathematics and engineering aspects of a reliability program. This text: 1. Describes the mathematics needed for reliability analysis, evaluation, and demonstration commensurate with an engineer's background. 2. Provides background material, guidance, and references necessary to the structure and implementation of a reliability program including: • identification of the reliability standards in most common use • how to generate and respond to a reliability specification • how reliability can be increased • the tasks which make up a reliability program and how to judge the need and scope of each; how each is commonly performed; caution and comments about their application.