Date of Award
Master of Science (MS)
Engineering Management & Systems Engineering
T. Steven Cotter
Cesar A. Pinto
Call Number for Print
Special Collections LD4331.E555 F44 2014
Manufacturer and industry recommendations vary considerably for maintenance and tests of emergency diesel-electric generator sets supporting critical operations power systems facilities. There is little consistency among sets of similar technology, and manufacturers and their representatives often provide contradictory guidance. As a result, periodicity of emergency diesel-electric generator set maintenance and tests varies considerably in practice. This work proposes and tests a research and analysis framework to develop parametric regression survival models of modern diesel-electric generator sets in emergency standby duty as a function of maintenance periodicity, test periodicity, and other predictors. Within this framework, predictors are developed from common maintenance and test actions, data is acquired and compiled in a standardized method, and this data is analyzed using non-parametric and parametric statistical stepwise regression techniques. The framework presented herein was tested on a small scale data set data drawn from emergency diesel-electric generator set logbooks at critical operations power systems facilities and is demonstrated as a feasible method of quantitatively determining the effectiveness of different periodicities of common routine maintenance and test actions on real-world data that contains a large fraction of left truncation and right censoring. A full scale study utilizing this framework is proposed to determine optimal maintenance and test periodicity.
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Fehr, Stephen J..
"Emergency Diesel-Electric Generator Set Maintenance and Test Periodicity"
(2014). Master of Science (MS), Thesis, Engineering Management & Systems Engineering, Old Dominion University, DOI: 10.25777/9c14-ph89