Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55851
Title: Reliability analysis and failure prediction of construction equipment with Time Series Models
Authors: Fan, Q
Fan, HQ 
Keywords: Construction equipment
Failure prediction
Reliability
Time series
Maintenance
ARIMA
Issue Date: 2014
Publisher: Engineering and Technology Publishing
Source: Journal of advanced management science, 2014, v. 3, no. 3, p. 203-210 How to cite?
Journal: Journal of advanced management science 
Abstract: Reliability and availability of the equipment or plants used in construction and civil engineering field is significant issue for all stakeholders. Unexpected breakdown and repairs could cause serious consequences such as extra cost and project period extension. Therefore, it is necessary to study the reliability of the construction equipment and predict the failures in time with a reasonable degree of accuracy to prevent such losses. This paper adopts time series modelling methods to analyze and forecast the failures and other reliability characteristics such as the expected number of failures per interval and Mean time between failures (MTBF). It is found that time series models is a viable alternative that gives satisfactory results for both point and interval failure predictions in terms of its predictive performance for construction equipment reliability.
URI: http://hdl.handle.net/10397/55851
ISSN: 2168-0787
DOI: 10.12720/joams.3.3.203-210
Appears in Collections:Journal/Magazine Article

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