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- W617013904 abstract "The Texas Department of Transportation (TxDOT) operates a large fleet of on-road and off-road equipment. Consequently, fleet maintenance procedures (specifically preventive maintenance such as oil changes) represent a significant cost to the agency. TxDOT currently uses a preventive maintenance schedule dependent on simple variables such as vehicle miles or operational hours logged. However, with newer engines and vehicles that are equipped with onboard diagnostic systems, there is the possibility of tracking these parameters or performance measures over time and correlating them to oil degradation levels to determine the need for preventive maintenance. The aim of this research is to: provide a proof of concept for this idea by studying whether a statistical approach to recommending oil changes in TxDOT’s fleet vehicles can be achieved based on collection of engine data (through onboard diagnostics) and oil sampling analysis; and assess whether predictive intervals can improve preventive maintenance practices and save money." @default.
- W617013904 created "2016-06-24" @default.
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- W617013904 date "2013-02-28" @default.
- W617013904 modified "2023-09-23" @default.
- W617013904 title "Fleet Equipment Performance Measure Preventive Maintenance Model" @default.
- W617013904 hasPublicationYear "2013" @default.
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