Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/63374
Title: The use of ARIMA models for reliability forecasting and analysis
Authors: Ho, S.L.
Xie, M. 
Keywords: ARIMA models
Duane model
Forecasting
MAD
Repairable system
Time series
Issue Date: Oct-1998
Source: Ho, S.L.,Xie, M. (1998-10). The use of ARIMA models for reliability forecasting and analysis. Computers and Industrial Engineering 35 (1-4) : 213-216. ScholarBank@NUS Repository.
Abstract: This paper investigates the approach to repairable system reliability forecasting based on the Autoregressive Integrated Moving Average (ARIMA) models. This time series technique makes very few assumptions and is very flexible. It is theoretically and statistically sound in its foundation and no a priori postulation of models is required when analysing failure data. An illustrative example on a mechanical system failures is presented. Comparison is also made with the traditional Duane model. It is concluded that ARIMA model is a viable alternative that gives satisfactory results in terms of its predictive performance. © 1998 Elsevier Science Ltd. All rights reserved.
Source Title: Computers and Industrial Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/63374
ISSN: 03608352
Appears in Collections:Staff Publications

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