Non-parametric analysis of maintenance data for Attitude Indicator of a commercial aircraft fleet-Reference-Cited by-同舟云学术

Non-parametric analysis of maintenance data for Attitude Indicator of a commercial aircraft fleet

Published:2023-08-15 Issue:2 Volume:7 Page:103-108
ISSN:2618-575X
Container-title:International Advanced Researches and Engineering Journal
language:
Short-container-title:

Author:

KAPAN ULUSOY Selda¹^ORCID,ŞAŞMAZTÜRK Mahmut Sami²^ORCID

Affiliation:

1. ERCIYES UNIVERSITY

2. İSKENDERUN TEKNİK ÜNİVERSİTESİ

Abstract

Analysis of maintenance data for a repairable system provides information about the failure behavior of the system. Such information is needed for determining preventive maintenance and retirement policy for the system. Parametric and non-parametric models can be used for analysis. Parametric models require more assumptions about the failure process of the systems under consideration compared to non-parametric models. To verify these assumptions statistical expertise needed. The purpose of this paper is to show that in practice non-parametric estimator of mean cumulative function can be utilized easily to model the failure behavior of a fleet. Mean cumulative function estimates the mean number of failures as function of operating hours. The method is exemplified on the attitude indicator units of a commercial aircraft fleet. Sampling uncertainty of the estimates is quantified by normal approximation confidence intervals.

Publisher

International Advanced Researches and Engineering Journal

Subject

Pharmacology (medical)

Reference28 articles.

1. 1. Cha, J.H. and M. Finkelstein, Point Processes for Reliability Analysis: Shocks and Repairable Systems, in Point Processes for Reliability Analysis: Shocks and Repairable Systems. 2018, Springer: New York. p. 1-419.

2. 2. Lawless, J., Statistical methods in reliability. Technometrics, 1983. 25(4): p. 305-316.

3. 3. Nelson, W., Graphical analysis of system repair data. Journal of Quality Technology, 1988. 20(1): p. 24-35.

4. 4. Trindade, D. and S. Nathan. Simple plots for monitoring the field reliability of repairable systems. in Annual Reliability and Maintainability Symposium, 2005. Proceedings. 2005. IEEE.

5. 5. Block, J., et al., Fleet-level reliability analysis of repairable units: a non-parametric approach using the mean cumulative function. International Journal of Pedagogy, Innovation and New Technologies, 2013. 9(3): p. 333-344.