The formulation of mathematical models for reliability allocation and redundancy. Topics include time dependent and time independent prediction measures for both maintained and non-maintained systems.

Prerequisites/Corequisites: Prerequisites: IME 2610 and IME 2620 or MATH 3520, or equivalent. (Recommended)

Credits: 3 hrs.

Notes: Open to Graduate Students Only.

Lecture Hours - Laboratory Hours: (3-0)

1. Understand the concept of probability. Use of discrete and continuous random variables (IME 2620 or MATH 3620).
2. Understand the concept of statistics. Use of descriptive and inferential statistics, least squares curve fitting, and correlation (IME 2620 or MATH 3620).

1. Apply knowledge of mathematics and engineering to reliability and maintainability problems such as formulation of mathematical models for reliability allocation and redundancy, time dependent and time independent prediction measures for both maintained and non-maintained systems.
2. Analyze and solve life distributions, empirical reliability distributions, reliability testing and planning, reliability growth analysis, and life cycle cost analysis problems.
3. Report and present individual and team’s findings for homework, case studies and min-projects.

• Dr. Lamberson’s Reliability Engineering Notes posted on Houshyar website
• Dr. Houshyar’s Reliability Engineering Notes posted on Houshyar website

Reference Material:

• Reliability: Management, Methods, and Mathematics By: Lloyd and Lipow
• Practical Reliability Engineering By: O'Connor
• Reliability in Engineering Design By: Kapur & Lamberson
• Introduction to Reliability Engineering By: Lewis

• Principles, Concepts and Definitions of Reliability Engineering
• Common Tools for Improving R&M; (Maintainability Engineering)
• Basic Reliability Calculations, Predictions and Estimation
• Apportionment Methods; (Reliability Measures, Static Rel Models)
• Review of Probability Concepts, Discrete & Continuous Models
• Life Distributions; Exponential Distribution; Weibull Distribution
• Basics of reliability & Empirical Reliability Measures
• Part Selection and Derating, Reliability Plots and Model Selection
• Reliability Testing & Planning; (Success/Failure Testing Schemes)
• Failure Mode & Effect Analysis/Fault Tree Analysis
• Design Review Procedures
• Reliability Growth Management
• Life Cycle Costing
  

Course Coordinator:

Leonard Lamberson
Western Michigan University
E-207 Parkview Campus
Kalamazoo, Michigan 49008-5336
Phone: 276-3367
Email: leonard.lamberson@wmich.edu