|
Start Date
|
Wed, 01/13/2010
|
|
End Date
|
Wed, 01/13/2010
|
|
Time
|
9:00 AM to 5:00 PM
|
|
SKU
|
RATE-0831-03
|
|
Location
|
|
Building | |
Room | |
|
Sessions
|
1
|
|
Format
|
Days
|
|
Type
|
Classroom
|
Dr. E. A. Elsayed is Professor of the Department of Industrial Engineering, Rutgers University. He is also the Director of the NSF/ Industry/ University Co-operative Research Center for Quality and Reliability Engineering, Rutgers-Arizona State University. His research interests are in the areas of quality and reliability engineering and Production Planning and Control. He is the co-author of Quality Engineering in Production Systems, McGraw Hill Book Company, 1989, and the author of Reliability Engineering, Addison-Wesley, 1996. These two books received the 1990 and 1997 IIE Joint Publishers Book-of-the-Year Award respectively.
Read More
Program Overview
This course focuses on reliability prediction using accelerated life testing, design of test plans, and equivalency among test plans. It begins with basic models then covers failure time modes and distribution free models. Advantages of each model will be covered.
Who Should Attend?
This course is intended for engineers who are involved with accelerated life testing. Some knowledge of probability and statistics is strongly suggested.
Skills You Will Acquire
You will be able to analyze the time-to-failure data of products or services under accelerated operating conditions. You will also be able to identify failures and predict the life of a product or service under these conditions. With this knowledge, you will be able to design and gauge the equivalency of test plans.
Program Outline
- Reliability Definition, Failure Rates and Failure Distributions
- Estimation of Reliability from Failure Data
- Censoring and Reliability Estimates
- Accelerated Life Testing: Definitions, Methods and Types of Data
- Accelerated Failure Time Models
- Distribution Free Models
- Confidence Intervals of the Predicted Reliability
- Design of Test Plans
- Equivalency of Test Plans
- Limitations of the Models
Text Book
Course materials and handouts will be provided.