A Real-Time Predictive-Maintenance System of Aluminum Electrolytic Capacitors Used in Uninterrupted Power Supplies

被引：164

作者：

Abdennadher, Karim ^{[1
]}

Venet, Pascal ^{[2
]}

Rojat, Gerard ^{[2
]}

Retif, Jean-Marie ^{[2
]}

Rosset, Christophe ^{[1
]}

机构：

[1] INOVALLEE, Emerging Technol Dept IT Business, Schneider Elect, F-38334 Saint Ismier, France

[2] Univ Lyon 1, Elect Engn Lab, Lab Ampere, CNRS,UMR 5005, F-69622 Villeurbanne, France

来源：

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2010年 / 46卷 / 04期

关键词：

Electrolytic capacitors; identification; Kalman filtering; predictive maintenance; real time;

D O I：

10.1109/TIA.2010.2049972

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a low-cost method to realize a real-time condition monitoring and a predictive-maintenance system of an electrolytic capacitor used in uninterruptible power supplies (UPSs). This method consists in detecting the changes in real time of the equivalent series resistance and the capacitance C values of the electrolytic capacitors. Simulation and experimental results are presented to illustrate the proposed monitoring technique. The proposed method can be used in UPS where waveforms are continuously varying in amplitude, frequency, and temperature. The proposed online failure prediction method has the merits of using only the existent resources in UPS and with the use of known algorithms.

引用

页码：1644 / 1652

页数：9

共 17 条

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