DocumentCode
713300
Title
Markov chain analysis for failure prediction of power converters
Author
Giuntini, Lorenzo ; Brioschi, Massimiliano
Author_Institution
GE Critical Power Riazzino, UPS Technol. CoE, Riazzino, Switzerland
fYear
2015
fDate
17-19 March 2015
Firstpage
1336
Lastpage
1341
Abstract
Preventive maintenance based on failure prediction may improve the reliability of power equipment, such as Uninterruptible Power Supplies, by anticipating failures in power converters. Markov chain analysis is ideally suited for building the required prediction model. This paper discussed such technique applied to UPS systems, presenting sample results from real field installations.
Keywords
Markov processes; failure analysis; power convertors; preventive maintenance; uninterruptible power supplies; Markov chain analysis; UPS systems; failure prediction; power converters; power equipment reliability; preventive maintenance; uninterruptible power supplies; Batteries; Markov processes; Predictive models; Rectifiers; Remote monitoring; Uninterruptible power systems; Diagnostics; Expert system; Maintenance; Reliability; Uninterruptible Power Supply (UPS);
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology (ICIT), 2015 IEEE International Conference on
Conference_Location
Seville
Type
conf
DOI
10.1109/ICIT.2015.7125283
Filename
7125283
Link To Document