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Reliability Maintainability Availability (Locks)

 
 Author(s)  Mitchell O. Locks
 Title  Reliability Maintainability & Availability Assessment
 Edition  
 Year  1973
 Publisher  Hayden Book Company, Inc.
 ISBN  0-87671-173-5
 Website  
 




The page at this link (One Shot Reliability (UPF)) contains these attachments:
  • The Beta table (sample sizes up to 200).
  • Charts that are the equivalent to the Beta table, but in graphical form and that include larger sample sizes.
  • R code that can reproduce the entries in the Beta table.




Table of Contents


Introduction


Part I: Basic Probability Theory

Chapter 1  Basic Concepts of Probability
  • Preliminary
  • Attributes, Outcomes, and Events
  • Compound Events
  • Probability
  • Bayes Theorem
  • Problems
  • References

Chapter 2  Probability Distributions
  • Random Variables
  • Families of Related Distributions
  • Measures Related to Parameters of Distributions
  • Random Sample Summary Statistics
  • Standardized Random Variables
  • Problems
  • Bibliography

Part II: Families of Probability Distributions

Chapter 3  Attributes, Go-No Go, or Zero-One Processes
  • Introductory
  • Binary Trials
  • Binomial Probability
  • Negative Binomial (Pascal) Distributions
  • Beta Distributions
  • Problems
  • References

Chapter 4  Normal Distributions
  • Introductory
  • Probability Plotting
  • Goodness-of-Fit Analysis
  • Approximate Reliability-Confidence Assessment for Attributes Data
  • The Lognormal Distribution
  • Appendix: 
    • Advanced Topics and Related Distributions
    • Some Properties of Normal Distributions
    • Chi-Square Distributions
    • Student-t Distributions
  • Problems
  • References

Chapter 5  The Poisson Process: Exponential Times to Failure
  • Introductory
  • Failures of a Single Component
  • Goodness-of-Fit Analysis
  • Multiple Failures and Redundancy
  • Appendix: Derivation of the Exponential Distribution: Relationships between Exponential, Gamma, Chi Square, and Poisson Distributions
  • Problems
  • References

Part III: Reliability - Confidence Assessment

Chapter 6  Statistical Assessment: The Bernoulli and Poisson Processes
  • Introductory
  • The Maximum-Likelihood Technique
  • Attributes Data
  • Exponential Distributions
  • Minimum Variance Unbiased Estimate of the Reliability
  • The Two-Parameter Exponential Distribution
  • Problems
  • References

Chapter 7  Bayesian Reliability Analysis: Attributes and Life Testing
  • Introductory
  • Structure of a Bayesian Analysis
  • Attributes Data
  • Time-to-Failure Data
  • Gamma Prior Distribution on p for the Poisson Process
  • Problems
  • References

Chapter 8  Normal-Theory Tolerance Analysis
  • Introductory
  • One-Sided Analysis
  • Two-Sided Analysis
  • References

Chapter 9  The Weibull Distribution
  • Introductory
  • Probability Analysis and Plotting
  • Linear Weighting Techniques for Weibull Estimation and Reliability-Confidence Assessment
  • Problems
  • References
  • Supplementary Bibliography

Part IV: Maintainability and Availability

Chapter 10  Maintainability and Availability
  • Introduction
  • Maintainability
  • Inherent Availability A1: The Exponential Case
  • Observed Availability A0
  • Problems
  • References
  • Bibliography


Appendix Tables

Table 1:  (Beta Table) Fixed Sample Size (n) and Confidence Level (eta): Reliability (p) Assess as a Function of Number of Successes (r) or the
    Number of Failures (n - r)
Table 2:  Values of the Standard Normal Distribution Function
Table 3:  Table of Plotting Points for n <= 15
Table 4:  Chi-Square Distribution Functions
Table 5:  Two-Sided Tolerance Factors for Normal Distributions
Table 6:  One-Sided Tolerance Limit Factors for a Normal Distribution


Index






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