دانلود کتاب Designing High Availability Systems: Design for Six Sigma and Classical Reliability Techniques with Practical Real-Life Examples

A practical, step-by-step guide to designing world-class, high availability systems using both classical and DFSS reliability techniquesWhether designing telecom, aerospace, automotive, medical, financial, or public safety systems, every engineer aims for the utmost reliability and availability in the systems he, or she, designs. But between the dream of world-class performance and reality falls the shadow of complexities that can bedevil even the most rigorous design process. While there are an array of robust predictive engineering tools, there has been no single-source guide to understanding and using them . . . until now.Offering a case-based approach to designing, predicting, and deploying world-class high-availability systems from the ground up, this book brings together the best classical and DFSS reliability techniques. Although it focuses on technical aspects, this guide considers the business and market constraints that require that systems be designed right the first time.Written in plain English and following a step-by-step "cookbook" format, Designing High Availability Systems:Shows how to integrate an array of design/analysis tools, including Six Sigma, Failure Analysis, and Reliability AnalysisFeatures many real-life examples and case studies describing predictive design methods, tradeoffs, risk priorities, "what-if" scenarios, and moreDelivers numerous high-impact takeaways that you can apply to your current projects immediatelyProvides access to MATLAB programs for simulating problem sets presented, along with PowerPoint slides to assist in outlining the problem-solving processDesigning High Availability Systems is an indispensable working resource for system engineers, software/hardware architects, and project teams working in all industries.Content: Chapter 1 Introduction (pages 1–2): Chapter 2 Initial Considerations for Reliability Design (pages 3–7): Chapter 3 A Game of Dice: An Introduction to Probability (pages 8–29): Chapter 4 Discrete Random Variables (pages 30–50): Chapter 5 Continuous Random Variables (pages 51–61): Chapter 6 Random Processes (pages 62–71): Chapter 7 Modeling and Reliability Basics (pages 72–109): Chapter 8 Discrete‐Time Markov Analysis (pages 110–140): Chapter 9 Continuous‐Time Markov Systems (pages 141–155): Chapter 10 Markov Analysis: Nonrepairable Systems (pages 156–192): Chapter 11 Markov Analysis: Repairable Systems (pages 193–239): Chapter 12 Analyzing Confidence Levels (pages 240–265): Chapter 13 Estimating Reliability Parameters (pages 266–277): Chapter 14 Six Sigma Tools for Predictive Engineering (pages 278–301): Chapter 15 Design Failure Modes and Effects Analysis (pages 302–330): Chapter 16 Fault Tree Analysis (pages 331–339): Chapter 17 Monte Carlo Simulation Models (pages 340–366): Chapter 18 Updating Reliability Estimates: Case Study (pages 367–376): Chapter 19 Fault Management Architectures (pages 377–396): Chapter 20 Application of DFMEA to Real‐Life Example (pages 397–403): Chapter 21 Application of FTA to Real‐Life Example (pages 404–419): Chapter 22 Complex High Availability System Analysis (pages 420–446):