The ability to successfully predict industrial product performance during service life provides benefits for producers and users. This book addresses methods to improve product quality, reliability, and durability during the product life cycle, along with methods to avoid costs that can negatively impact profitability plans. The methods presented can be applied to reducing risk in the research and design processes and integration with manufacturing methods to successfully predict product performance. This approach incorporates components that are based on simulations in the laboratory. The results are combined with in-field testing to determine degradation parameters. These approaches result in improvements to product quality, performance, safety, profitability, and customer satisfaction. Among the methods of analyses included are: Accelerated Reliability Testing (ART) Accelerated Durability Testing (ADT) System variability / input variability Engineering risk versus time and expense

Table of Contents:
Preface Introduction Current Situation with Recalls and Related Problems Current Situation in Performance Prediction The History of Reliability Prediction References Chapter 1:?Terms and Definitions for Successful Prediction, Reliability, and Durability Testing References Chapter 2:?Analysis of Current Approaches in Simulation and Testing 2.1 General 2.2 Elements of History of Physical Simulation Development 2.3 Physical Simulation of the Real-World Conditions. Current Testing References Chapter 3:?Methodological Aspects as the First Basic Component of Successful Prediction of Product Performance 3.1 Introduction 3.2 Common Principles of Successful Performance Prediction 3.3 Common Criteria for Successful Prediction of Product Performance Components 3.4 Methodology for Selecting Representative Input Regions for Accurate Simulation of Real-World Conditions 3.5 Aspects of Successful Prediction of Product’s Performance By Taking Into Account Coefficients of Recalculation that Depend On Manufacturing Technology Factors and Usage Conditions 3.6 Building a Specific Type of Influence Function for Reliability andMaintainability Prediction 3.7 Basic Methodological Aspects of Quality Prediction 3.8 System Reliability Prediction from Testing Results of the Components 3.9 Durability Prediction with Consideration of Expenses and Losses 3.10 Prediction of the Product’s Spare Parts 3.11 Basic Aspects of Safety and Human Factors Simulation, Their Prediction Methodology, and Risk Components 3.12 Successful Prediction of Some Financial Components of Performance (LCC, Profit, and Recalls) 3.13 Conclusions References Chapter 4:?Basic Aspects of Accelerated Reliability/Durability Testing as the Second Basic Component of Successful Prediction of Product Performance 4.1 Introduction 4.2 The Basic Concepts of the Strategy for Development of Accurate Physical Simulation of Real-World Conditions and ART/ADT 4.3 The Principles of System of Control for Physical Simulation of Random Input Influences 4.4 Trends in the Development of ART/ADT References Chapter 5:?Integrated Equipment for Physical Simulation ofInteracted Real-World Conditions 5.1 Introduction 5.2 Combined Testing Equipment 5.3 Equipment for Accelerated Reliability and Durability Testing 5.4 The Mechanisms for Control of Simulation of the Real-World Random Input Influences References Chapter 6:?Financial Considerations, Use of the Author’s Approach, and Some Published Reviews to the Author’s Previous Books 6.1 Financial Considerations References 6.2 Use of the Author’s Approach (Publications) 6.3 Some Published Reviews to Author’s Previous Books Chapter 7:?Improving the Standardization of Accelerated Reliability and Durability Testing 7.1 Current Situation 7.2 Standards in Combined Testing 7.3 Standards in Reliability Testing 7.4 SAE International Standards in Reliability Testing References Chapter 8:?Improvement in Engineering Culture for Successful Prediction References Index About the Author