Providing probability and statistical concepts developed using pseudorandom numbers, this book covers enumeration-, simulation-, and randomization-based statistical analyses for comparison of the test performance of alternative designs, as well as simulation- and randomization-based tests for examination of the credibility of statistical presumptions. the book discusses centroid and moment of inertia analogies for mean and variance and the organization structure of completely randomized, randomized complete block, and split spot experiment test programs. Purchase of the text provides access to 200 microcomputer programs illustrating a wide range of reliability and statistical analyses.

Reliability is one of the most important attributes for the products and processes of any company or organization. This important work provides a powerful framework of domain-independent reliability improvement and risk reducing methods which can greatly lower risk in any area of human activity. It reviews existing methods for risk reduction that can be classified as domain-independent and introduces the following new domain-independent reliability improvement and risk reduction methods: Separation Stochastic separation Introducing deliberate weaknesses Segmentation Self-reinforcement Inversion Reducing the rate of accumulation of damage Permutation Substitution Limiting the space and time exposure Comparative reliability models The domain-independent methods for reliability improvement and risk reduction do not depend on the availability of past failure data, domain-specific expertise or knowledge of the failure mechanisms underlying the failure modes. Through numerous examples and case studies, this invaluable guide shows that many of the new domain-independent methods improve reliability at no extra cost or at a low cost. Using the proven methods in this book, any company and organisation can greatly enhance the reliability of its products and operations.

Providing probability and statistical concepts developed using pseudorandom numbers, this book covers enumeration-, simulation-, and randomization-based statistical analyses for comparison of the test performance of alternative designs, as well as simulation- and randomization-based tests for examination of the credibility of statistical presumptions. the book discusses centroid and moment of inertia analogies for mean and variance and the organization structure of completely randomized, randomized complete block, and split spot experiment test programs. Purchase of the text provides access to 200 microcomputer programs illustrating a wide range of reliability and statistical analyses.

Component failures result from a combination of factors involving materials science, mechanics, thermodynamics, corrosion, and tribology. With the right guidance, you don’t have to be an authority in all of these areas to become skilled at diagnosing and preventing failures. Based on the author’s more than thirty years of experience, Practical Plant Failure Analysis: A Guide to Understanding Machinery Deterioration and Improving Equipment Reliability is a down-to-earth guide to improving machinery maintenance and reliability. Illustrated with hundreds of diagrams and photographs, this book examines... · When and how to conduct a physical failure analysis · Basic material properties including heat treating mechanisms, work hardening, and the effects of temperature changes on material properties · The differences in appearance between ductile overload, brittle overload, and fatigue failures · High cycle fatigue and how to differentiate between high stress concentrations and high operating stresses · Low cycle fatigue and unusual fatigue situations · Lubrication and its influence on the three basic bearing designs · Ball and roller bearings, gears, fasteners, V-belts, and synchronous belts Taking a detailed and systematic approach, Practical Plant Failure Analysis thoroughly explains the four major failure mechanisms—wear, corrosion, overload, and fatigue—as well as how to identify them. The author clearly identifies how these mechanisms appear in various components and supplies convenient charts that demonstrate how to identify the specific causes of failure.

This book introduces and explains the parametric accelerated life testing (ALT) methodology as a new reliability methodology based on statistics, to help avoid recalls of products in the marketplace. The book includes problems and case studies to help with reader comprehension. It provides an introduction to reliability design of the mechanical system as an alternative to Taguchi’s experimental methodology and enables engineers to correct faulty designs and determine if the targeted product reliability is achieved. Additionally, it presents a robust design methodology of mechanical products to withstand a variety of loads. This book is intended for engineers of many fields, including industrial engineers, mechanical engineers, and systems engineers.

The revised edition of this book offers an expanded overview of the reliability design of mechanical systems and describes the reliability methodology, including a parametric accelerated life test (ALT) plan, a load analysis, a tailored series of parametric ALTs with action plans, and an evaluation of the final designs to ensure the design requirements are satisfied. It covers both the quantitative and qualitative approaches of the reliability design forming in the development process of mechanical products, with a focus on parametric ALT and illustrated via case studies. This new reliability methodology – parametric ALT should help mechanical and civil engineers to uncover design parameters improving product design and avoiding recalls. Updated chapters cover product recalls and assessment of their significance, modern definitions in reliability engineering, parametric accelerated life testing in mechanical systems, and extended case studies. For this revised edition, one new chapter has been introduced to reflect recent developments in analysis of fluid motion and mechanical vibration. Other chapters are expanded and updated to improve the explanation of topics including structures and load analysis, failure mechanics, design and reliability testing, and mechanical system failure. The broad scope gives the reader an overview of the state-of-the-art in the reliability design of mechanical systems and an indication of future directions and applications. It will serve as a solid introduction to the field for advanced students, and a valuable reference for those working in the development of mechanical systems and related areas.