Introduction to Reliability Engineering
This course covers a wide range of Reliability Engineering topics and is intended for engineers who need or want a working understanding of the methods available for Reliability Engineering and/or who want to decide whether to pursue a more in-depth study of Reliability Engineering.
Introduction to Reliability Engineering
This program provides a broad overview of Reliability Engineering tools, covering both conceptual applications and the mathematical foundation of some of the more commonly used tools. Selected topics include definitions of reliability terms, reliability modeling, accelerated testing, life prediction, and system reliability analysis.
Course Objectives
- Understand key reliability engineering concepts and terminology
- Learn reliability modeling techniques for system analysis
- Explore accelerated testing methods for life prediction
- Develop skills in system reliability analysis
- Apply mathematical foundations to common reliability engineering tools
Target Audience
- Engineers
- Technical Managers
Agenda
- Historical reliability failures
- Normalization of deviance
- Relationship between quality and reliability
- Definitions
- Failure mode and mechanism
- pdf, cdf, reliability
- hazard rate
- bathtub curve
- Reliability distributions
- Exponential
- MTBF vs. MTTF
- Weibull
- Lognormal
- Distribution fitting/identification
- Physics of failure
- Maximum Likelihood and Least Squares Regression
- Censoring
- Where reliability fits into the development process
- FMEA/FTA
- Reliability modeling
- Load/strength
- Apportionment
- Accelerated testing
- HALT/QALT
- Time vs. force acceleration
- Inverse Power Law
- Arrhenius model
- Designing a time accelerated test
- System reliability analysis
- Series/parallel systems
- Availability
- Common reliability tools for product/process design
Course Delivery
- In-Person Training
- Training for Teams
Prerequisites
- Participant to be comfortable with advanced algebra including exponential and logarithms
