A. Introduction to Reliability Engineering
1. Quality and Reliability
2. Creating Reliability vs Measuring Reliability
3. Domains and Dimensions
Hardware, software, and Human Elements
Probabilistic vs Deterministic
Systems vs Component
4. History and Future
5. Course Overview
B. Why and how things fail
1. Functional Failure and Failure Modes
2. Failure Causes and Mechanisms
Basic Physics of Failure Concepts
Root Cause, proximate Cause, Symptoms
3. Material Related Failure Mechanisms
Fracture Mechanics Including Ductile Fracture and Brittle Fracture
Elastic Deformation and High-Cycle Fatigue
Plastic Deformation and Low-Cycle Fatigue
4. Failure Mechanisms and Models for Mechanical Products
Structural Elements
Rotating and Sliding Elements
Bearings, Pumps, Etc
5. Failure Mechanisms and Models for Electronic Products
Defects and Wearout Mechanisms
Corrosion and Electromigration
Insulator Breakdown processes
Packaging Issues and Manufacturing Processes
6. Software Failure Causes ad Mechanisms
7. Human Failure Causes and Mechanisms
C. Probabilistic Models of Failure Phenomena
1. Essentials of Probability Theory and Relation to Reliability Prediction
Probability and Probabilistic Definition of Reliability
Essentials of Probability Theory, (e.g. pfd, cdf. Etc)
2. Stress-strength Interference
3. Stress-life Models
D. Life Models For Non-Repairable items
1. Component Life Models
Exponential
Weibull
Lognormal
IDB
Discrete and Continuous Processes
2. Estimation of Model Parameters - Data
Types of Information Available
Field Data
Test Data
Engineering Judgement
Data Collection and Classification
3. Estimation of Model Parameters - methods
Elements of Statistics (Bayesian and Classical)
Parameter Estimation and Uncertainty Assessment
Estimation Based on Engineering Judgement and Partially Relevant Data
None-parametric Approaches
Graphical Analysis
E. Life Models For Repairable Items
1. Maintenance and Replacement Schemes
2. Maintenance Models
Renewal Theory
Markovian Models
