Predicting recloser failure rates from field condition assessment

dc.contributor.advisor	Jewell, Ward T.	en_US
dc.contributor.author	Warner, Joseph M
dc.date.accessioned	2007-08-23T13:11:44Z
dc.date.available	2007-08-23T13:11:44Z
dc.date.issued	2005-12
dc.identifier.isbn	9780542758027
dc.identifier.other	t05022
dc.identifier.other	AAT 1436590
dc.identifier.uri	http://hdl.handle.net/10057/767
dc.description	Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineering.	en
dc.description	"December 2005."	en
dc.description.abstract	This research develops a technique to predict the failure rate of a power distribution system recloser. The prediction is based on suggested criterion given and defined within this paper. Because inspection practices differ among utilities, the technique will apply to whatever data is available, and make the best prediction from that data. Examples of using the technique are provided. Predicted failure rates can then be used in system simulations to predict system reliability indices, and the effect routine maintenance has on them.	en
dc.format.extent	185112 bytes
dc.format.mimetype	application/pdf
dc.language.iso	en_US	en
dc.rights	Copyright Joseph M Warner, 2005. All rights reserved.	en
dc.subject.lcsh	Electronic dissertations	en
dc.title	Predicting recloser failure rates from field condition assessment	en
dc.type	Thesis	en

CE Theses and Dissertations
Doctoral and Master's theses authored by the College of Engineering graduate students
EECS Theses and Dissertations
Collection of Master's theses and Ph.D. dissertations completed at the Dept. of Electrical Engineering and Computer Science
Master's Theses
This collection includes Master's theses completed at the Wichita State University Graduate School (Fall 2005 -- current) as well as selected historical theses.