MC-537 Reliability Engineering


Credit Hours = 3


  • Introduction to Statistics: Concepts related to statistics & probability; Distributions including Binomial, Hyper-geometric, Poisson, Normal, Exponential, Weibull, Log Normal, Gamma and Extreme Distributions; Goodness of fit.
  • Reliability Measures: Reliability Function; Expected Life; Failure Rate and Hazard Function; Reliability and Hazard Function for well known Distributions such as Exponential, Normal, Log Normal, Weibull and Gamma; Hazard Models and Product Life; Constant Hazard Function; Linearly Increasing Hazard Function; Piecewise Bathtub Hazard Function, Power Function Model, Exponential Model.
  • Reliability Models: Series System, Parallel System, Series & Parallel Combinations, Complex System Analysis (Enumeration, Conditional Probability and, Cut-set Methods), Reliability Considerations in Design.
  • Reliability in Engineering Design: Reliability Design Methodologies, Strength and Stress Distributions, Safety Factor and Reliability, Reliability Bonds in Probabilistic Design; Transformation of Random Variables, Sum and Differences of Normal Random Variables, Error Analysis, Statistical Tolerance.
  • Interface Theory and Reliability Computations: General Expression for Reliability; Reliability Computations for Normally, Log Normally, Exponentially, Gamma and Weibull Distributed Stress and Strength.
  • Reliability in Design and Testing: Dynamic Reliability Models, Reliability Estimation, Sequential Life Testing, Bayesian Reliability in Design and Testing, Reliability Optimization.
  • Maintainability & Availability: Concepts; Definitions; Preventive Maintenance; Repair Time Distributions; Availability Analysis


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