- TypeSeminar
- Location Salt Lake, Utah, United States
- Date 03-11-2016 - 04-11-2016
Education/Teaching/Training/Development
Engineering
OVERVIEW
Although a primary objective of reliability analysis is to improve product reliability, there are many possible reasons for collecting and analyzing reliability data. Several examples are the following:
Participants will gain awareness of the overall methodology for setting reliability targets, estimating product reliability from test data and/or field data, and determining whether or not reliability targets are achieved. Methods for estimating the reliability of subsystems and systems are also discussed. Participants will also learn how to calculate sample sizes for reliability testing and utilize reliability models to develop forecasts of future failures (e.g. warranty forecasts).
WHY SHOULD YOU ATTEND:
WHO WILL BENEFIT:
The target audience includes anyone with a vested interest in product quality and reliability
SEMINAR SCHEDULE
Day 1 Schedule
Lecture 1:
Reliability Concepts and Reliability Data
1. Reliability in Product and Process Development
2. Unique Characteristics of Reliability Data
3. Censored Data
Probability and Statistics Concepts
1. Basic Probability Concepts
2. Probability Distributions (e.g. Weibull, Lognormal, etc.)
Lecture 2:
Probability and Statistics Concepts (cont'd)
1. Probability Distribution Functions
2. CDF and Reliability Functions
3. Reliability Metrics: Hazard Rate, Mean Time to Failure, Percentiles
4. Conditional Reliability
5. Burn-In (for Infant Mortality)
Lecture 3:
Assessing â Selecting Models (Distributions) for Failure Data
1. Probability Plotting with and without Censored Data
2. Identifying the Best Distribution(s)
3. Criteria for Comparing Models
Lecture 4:
Estimation of Reliability Characteristics
1. Estimation Methods (Maximum Likelihood, Rank Regression)
2. Reliability/Weibull Analysis (and other distributions)
3. Precision of Estimates/Confidence Intervals
Day 2 Schedule
Lecture 1:
Estimation of Reliability Characteristics (cont'd)
1. Handling Multiple Failure Modes
2. Comparing Reliability of Different Groups
Lecture 2:
Introduction to Reliability of Systems
1. Series Systems
2. Parallel Systems
3. K-out-of-n Systems
4. Complex Systems
5. Introduction to System Modeling, Reliability Allocation
Lecture 3:
Introduction to Reliability Test Planning
1. Test planning regimes
2. Reliability Estimation Test Plans
3. Reliability Demonstration Test Plans
4. Sample Sizes for Estimation and Demonstration Test Plans
5. Sample Size / Testing Time Trade-offs
Lecture 4:
Analysis of Warranty Data
1. Data Setup
2. Identifying Models for Failure Data
3. Forecasting Future Warranty Returns
4. Non-Homogeneous Production Periods
For more details and updates please visit website
161 Mission Falls Lane, Suite 216, Fremont, CA 94539, USA
+1-800-447-9407SI NO | Filename | Download |
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1 | Product Reliability Seminar 2016 | Download |