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
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);
Conference_Titel :
Industrial Technology (ICIT), 2015 IEEE International Conference on
Conference_Location :
Seville
DOI :
10.1109/ICIT.2015.7125283
