Title :
LMS based condition monitoring of electrolytic capacitor
Author :
Imam, Afroz M. ; Habetler, Thomas G. ; Harley, Ronald G. ; Divan, Deepak M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA
Abstract :
Electrolytic capacitors are very important element of any static converters. It is responsible for frequent breakdowns of many static converters and drive systems. To set a predictive maintenance, adaptive filter modeling based method is presented. Signature of changes in capacitance and ESR will reflect in capacitor ripple voltage because of aging; and these changes are monitored using this adaptive filter modeling to predict the future status of the capacitor using only the input current of the system
Keywords :
adaptive filters; condition monitoring; electric breakdown; electrolytic capacitors; maintenance engineering; power convertors; adaptive filter; capacitor ripple voltage; condition monitoring; drive system; electrolytic capacitor; predictive maintenance; static converters; Adaptive filters; Capacitance; Capacitors; Condition monitoring; Electric breakdown; Least squares approximation; Paramagnetic resonance; Predictive maintenance; Predictive models; Voltage;
Conference_Titel :
Industrial Electronics Society, 2005. IECON 2005. 31st Annual Conference of IEEE
Conference_Location :
Raleigh, NC
Print_ISBN :
0-7803-9252-3
DOI :
10.1109/IECON.2005.1569015
