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Practical Reliability Engineering,9780470979815
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Practical Reliability Engineering

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This is the 5th edition with a publication date of 1/30/2012.
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Maintaining the academic and practical level of the Fourth Edition, while keeping up with modern reliability practices as evolve, this new edition presents the latest reliability software packages; has an expanded section on Weibull distribution, the most commonly used distribution in reliability mathematics; and includes PowerPoint slides and solutions for course tutors held on a companion website. It is an essential text for experienced design and reliability engineers, as well as engineers studying for CRE, ASQ or IQA certification and graduate or senior undergraduate students in quality assurance or reliability.

Table of Contents

Preface to the First Edition
Preface to the Second Edition
Preface to the Third Edition
Preface to Third Edition Revised
Preface to Fourth Edition
Preface to Fifth Edition
Notation and Definitions
Introduction to Reliability Engineering
What is Reliability Engineering?
Why Teach Reliability Engineering?
Why do Engineering Products Fail?
Probabilistic Reliability
Repairable and Non-repairable Items
The Pattern of Failures with Time (Non-repairable Items)
The Pattern of Failures with Time (Repairable Items)
The Development of Reliability Engineering
Courses, Conferences and Literature
Organizations Involved in Reliability Work
Reliability as an Effectiveness Parameter
Reliability Programme Activities
Reliability Economics and Management
Reliability Mathematics
Probability Concepts
Rules of Probability
Continuous Variation
Continuous Distribution Functions
Summary of Continuous Statistical Distributions
Variation in Engineering
Discrete variation
Statistical Confidence
Statistical Hypothesis Testing
Non-parametric Inferential Methods
Goodness of Fit
Series of Events (Point Processes)
Computer Software for Statistics
Practical Conclusions
Life Data Analysis and Probability Plotting
Life Data Classification
Ranking of Data
Weibull Distribution
Computerized Data Analysis and Probability Plotting
Confidence Bounds for Life Data Analysis
Choosing the Best Distribution and Assessing the Results
Monte Carlo Simulation
Monte Carlo Simulation Basics
Additional Statistical Distributions
Sampling a Statistical Distribution
Basic Steps for Performing a Monte Carlo Simulation
Monte Carlo Method Summary
Load‚«Űstrength Interference
Distributed Load and Strength
Analysis of Load‚«Űstrength Interference
Effect of Safety Margin and Loading Roughness on Reliability (Multiple Load Applications)
Practical Aspects
Reliability Prediction and Modelling
Fundamental Limitations of Reliability Prediction
Standards Based Reliability Prediction
Other Methods for Reliability Predictions
Practical Aspects
Systems Reliability Models
Availability of Repairable Systems
Modular Design
Block Diagram Analysis
Fault Tree Analysis (FTA)
State-space Analysis (Markov Analysis)
Petri Nets
Reliability Apportionment
Design for Reliability
Design for reliability Process
Assessing the DfR Capability of an Organization
Reliability of Mechanical Components and Systems
Mechanical Stress, Strength and Fracture
Vibration and Shock
Temperature Effects
Electronic Systems Reliability
Reliability of Electronic Components
Component Types and Failure Mechanisms
Summary of Device Failure Modes
Circuit and System Aspects
Electronic System Reliability Prediction
Reliability in Electronic System Design
Parameter Variation and Tolerances
Design for Production, Test and Maintenance
Software Reliability
Software in Engineering Systems
Software Errors
Preventing Errors
Software Structure and Modularity
Programming Style
Fault Tolerance
Data Reliability
Software Checking
Software Testing
Error Reporting
Software Reliability Prediction and Measurement
Hardware/Software Interfaces
Design of Experiments and Analysis of Variance
Statistical Design of Experiments and Analysis of Variance
Randomizing the Data
Engineering Interpretation of Results
The Taguchi Method
Reliability Testing
Planning Reliability Testing
Test Environments
Testing for Reliability and Durability: Accelerated Test
Test Planning
Failure Reporting, Analysis and Corrective Action Systems (FRACAS)
Analysing Reliability Data
Pareto Analysis
Accelerated Test Data Analysis
Acceleration Factor
Acceleration Models
Field-Test Relationship
Statistical Analysis of Accelerated Test Data
Reliability Analysis of Repairable Systems
CUSUM Charts
Exploratory Data Analysis and Proportional Hazards Modelling
Field and Warranty Data Analysis
Reliability Demonstration and Growth
Reliability Metrics
Test to Success (Test Run Method)
Test to Failure Method
Extended Life Test
Continuous Testing
Degradation Analysis
Combining Results Using Bayesian Statistics
Non-Parametric Methods
Reliability Demonstration Software
Practical Aspects of Reliability Demonstration
Standard Methods for Repairable Equipment
Reliability Growth Monitoring
Making Reliability Grow
Reliability in Manufacture
Control of Production Variability
Control of Human Variation
Acceptance Sampling
Improving the Process
Quality Control in Electronics Production
Stress Screening
Production Failure Reporting Analysis and Corrective Action System (FRACAS)
Maintainability, Maintenance and Availability
Availability Measures
Maintenance Time Distributions
Preventive Maintenance Strategy
FMECA and FTA in Maintenance Planning
Maintenance Schedules
Technology Aspects
Maintainability Prediction
Maintainability Demonstration
Design for Maintainability
Integrated Logistic Support
Reliability Management
Corporate Policy for Reliability
Integrated Reliability Programmes
Reliability and Costs
Safety and Product Liability
Standards for Reliability, Quality and Safety
Specifying Reliability
Contracting for Reliability Achievement
Managing Lower-Level Suppliers
The Reliability Manual
The Project Reliability Plan
Use of External Services
Customer Management of Reliability
Selecting and Training for Reliability
Organization for Reliability
Reliability Capability and Maturity of an Organization
Managing Production Quality
Quality Management Approaches
Choosing the Methods: Strategy and Tactics
The Standard Cumulative Normal Distribution Function
ŌÁ2(a, n) Distribution Values
Kolmogorov‚«ŰSmirnov Tables
Rank Tables (5%, 95%)
Failure Reporting, Analysis and Corrective Action System (FRACAS)
Reliability, Maintainability (and Safety) Plan Example
Matrix Algebra Revision
Table of Contents provided by Publisher. All Rights Reserved.

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