System Reliability Growth Analysis during Warranty-Reference-Cited by-同舟云学术

System Reliability Growth Analysis during Warranty

Published:2019-02-01 Issue:1 Volume:4 Page:85-94
ISSN:2455-7749
Container-title:International Journal of Mathematical, Engineering and Management Sciences
language:en
Short-container-title:Int J Math, Eng, Manag Sci

Author:

Li James¹,Collins Greg¹,Govindarajulu Ravi²

Affiliation:

1. Centre of Competence for Mass Transit, AME, Bombardier Transportation, Kingston, Canada

2. Bombardier Transportation, Hyderabad, India

Abstract

This paper presents system reliability growth analysis using actual field failure data. The primary objective of the system reliability growth is to improve the achievement of system reliability performance during system reliability demonstration, in order to achieve the predicted or contractually required system reliability commitment. An effective reliability growth model can be utilized to predict when the reliability target can be achieved based on previous reliability performance. In this paper, the system reliability growth analysis is illustrated using the Duane and AMSAA reliability growth models to determine applicability and aid in choice determination. The Duane model is a better choice for failure terminated reliability growth while AMSAA is a better choice for time terminated reliability growth. Comparisons of the Duane versus AMSAA model are carried out by conducting the statistical analysis on the observed field failures.

Publisher

International Journal of Mathematical, Engineering and Management Sciences plus Mangey Ram

Subject

General Engineering,General Business, Management and Accounting,General Mathematics,General Computer Science

Reference15 articles.

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3. Duane, J. T. (1964). Learning curve approach to reliability monitoring. IEEE Transactions on Aerospace, 2(2), 563-566.

4. Ellner, P. M., & Hall, J. B. (2006, January). An approach to reliability growth planning based on failure mode discovery and correction using AMSAA projection methodology. In Reliability and Maintainability Symposium, 2006. RAMS'06. Annual (pp. 266-272). IEEE.

5. Ellner, P. M., & Trapnell, B. (1990). AMSAA reliability growth data study. Interim Note R-184, AMSAA, Aberdeen Proving Ground, MD.

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