Reliability Engineering Statistics
Find out more about RES here.
Designed for:
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This is a knowledge-building course designed for those who are responsible for establishing policies and processes within the asset management discipline. The course provides knowledge and skills in reliability statistics methods to allow participants to understand and calculate appropriate statistics for specific maintenance scenarios.
You will learn:
- The important terms and definitions in reliability statistics
- Fundamental concepts of measuring variability
- Basic statistics and the purpose of each
- The characteristics of Normal, Weibull, and Exponential distributions
- How to apply basic statistics in the maintenance environment
- How to calculate and utilize MTBF as a reliability predictor
- How to calculate and predict system reliability
- How to use statistics for component replacement prior to wearout failure
- How to determine conditional failure probability
- How to apply reliability statistics to improve asset management
About the Course:
This course is designed to teach the principles of improving asset management and maintenance decision making using various Reliability Statistics.
Course Requirements:
Each attendee will need access to a computer with at least a Celeron level processor and/or a scientific calculator.
Dress
- Business casual is appropriate
INTRODUCTION TO VARIABILITY AND RELIABILITY
- Definitions
- Understanding the implications
- Causes of variability
- Effects of particular causes on measured output
INTRODUCTION TO MEASURING VARIABILITY
- How to collect data
- Where to collect data
- When to collect data
- Using linear regression to understand variability
- Data that is correlated
Data that is not correlated
INTRODUCTION OF BASIC STATISTICS
- Sample vs. Population
- How to calculate mean, median, and mode
- How to calculate range, standard deviation, and variance
- Distribution Shapes – What they mean to the maintenance practitioner
- Normal
- Weibull
- Exponential
- Exercises using basic statistics
RELIABILITY STATISTICS IN THE MAINTENANCE ENVIRONMENT
- Exercises using basic statistics
- Calculating MTBF
- Using MTBF in reliability prediction
- Exercises using MTBF
- Utilize statistics to analyze plant equipment life
- Using statistics to replace components prior to the wearout phase
- Calculating conditional probability failures
- Exercises utilizing failure prediction statistics
STATISTICS FOR MINIMAL TESTING
- Sequential testing
- Exercises
REVIEW THE WEEK’S LEARNINGS
- The important terms and definitions in reliability statistics
- Fundamental concepts of measuring variability
- Basic statistics and the purpose of each
- The characteristics of Normal, Weibull, and Exponential distributions
- How to apply basic statistics in the maintenance environment
- How to calculate and utilize MTBF as a reliability predictor
- How to calculate and predict system reliability
- How to use statistics for component replacement prior to wearout failure
- How to determine conditional failure probability
- How to apply reliability statistics to improve asset management
For more information about training,
please email us at langhornejason@alliedreliability.com |