Please use this identifier to cite or link to this item:
Title: A Review on Trend Tests for Failure Data Analysis
Authors: Tsang, AHC
Keywords: Failure data analysis
Statistical trend tests
Homogeneous Poisson process
Monotonic trend
Multiple systems
Issue Date: 2012
Publisher: Faculty of Engineering, University of the West Indies
Source: West Indian journal of engineering, 2012, v. 35, no. 1, p. 4-9 How to cite?
Journal: West Indian journal of engineering 
Abstract: Trend detection is an important task in failure data analysis in both reliability and maintenance. Usually, detecting certain possible trend in failure events of systems or items is the first step of data handling, and the result of trend detection indicates some directions for further statistical analysis of these data. Available statistical tests commonly used for detecting trends in failure events collected over time as well as the underlying hypotheses being tested are reviewed in this paper. Directions for future research on statistical trend tests are suggested at the end of the paper. These suggestions will address issues concerning analysis of failure data obtained from single and multiple systems.
ISSN: 0511-5728
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Aug 13, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.