This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Implementation of Positive Trends in Reliability and Durability Testing and Prediction
Technical Paper
2021-01-0236
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Event:
SAE WCX Digital Summit
Language:
English
Abstract
This paper considers the situation with implementation of positive trends in reliability and durability testing and prediction. Professionals often obtain reliability and durability results during research, design, and manufacturing that are essentially different from field results. The basic reason is: the advanced positive trends in reliability and durability testing, and prediction are not implemented enough. The paper considers also specifics of positive trends and how they are implemented in practice, including different ways of this implementation. The author will be demonstrating the practical real examples of implementing the above trends in different areas of engineering, physics, and mathematic in different countries. As a result, there is increasing effectiveness of the product, including reliability, durability, and safety, less complaints, recalls, and increasing profit.
Authors
Citation
Klyatis, L., "Implementation of Positive Trends in Reliability and Durability Testing and Prediction," SAE Technical Paper 2021-01-0236, 2021, https://doi.org/10.4271/2021-01-0236.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 |
Also In
References
- Klyatis , L.M. Trends in Development of Accelerated Testing for Automotive and Aerospace Engineering Elsevier (Academic Press) 2020
- Klyatis , L.M. , and Anderson , E.L. Reliability Prediction and Testing Textbook John Wiley & Sons, Inc. (WILEY) 2018
- Klyatis , L. Successful Prediction of Product Performance. Quality, Reliability, Durability, Safety, Maintainability, Life Cycle Cost, Profit, and Other Components SAE International 2016
- Klyatis , L. Analysis of the Current Practices with Reliability Prediction SAE 2018 World Congress and Exhibition. Paper # 2018-01-0100 April 2018
- Klyatis , L. Successful Prediction of Product Quality, Durability, Maintainability, Supportability, Safety, Life Cycle Cost, Recalls and Other Performance Components The Journal of Reliability, Maintainability, and Supportability in Systems Engineering. RMS Partnership Spring 14 26 2016
- DoD 3235, 1 H
- IEEE 1413
- MIL-HDBK-217F
- MIL-STD-781D
- Handbook of Reliability Prediction Procedures for Mechanical Equipment West Bethesda, MD Naval Surface Warfare Center. Carderock Division
- Wong , K.L. What Is Wrong With the Existing Reliability Prediction Methods? Quality and Reliability Engineering International 6 4 September/October 1990
- Klyatis , L.M. Accelerated Reliability and Durability Testing Technology Wiley 2012