An intelligent technique for condition based self-maintenance of aluminum electrolytic capacitors

Neeraj Khera, Shakeb A. Khan (), Tariqul Islam and A. K. Agarwala
Additional contact information
Neeraj Khera: Amity University
Shakeb A. Khan: Jamia Millia Islamia, Central University
Tariqul Islam: Jamia Millia Islamia, Central University
A. K. Agarwala: IIT

International Journal of System Assurance Engineering and Management, 2016, vol. 7, issue 1, No 4, 25-34

Abstract: Abstract This paper presents an intelligent technique for condition based self-maintenance of aluminum electrolytic capacitors. In-circuit condition of capacitors is monitored by calculating its remaining useful life in real time. On the basis of capacitor condition, self-maintained operation is performed by controlling the case temperature using thermo-electric cooling (TEC) module. Temperature difference between two plates of TEC module is obtained by varying duty ratio of its input voltage waveform that is capacitor case temperature dependent. Temperature of capacitor is controlled by maintaining cold side temperature of TEC as function of change in case to ambient temperature. The proposed scheme is implemented in National Instruments LabVIEW software and a low cost microcontroller board is used for data acquisition and control. To make the developed system more flexible in use, it has two different modes of operation: monitoring mode and self-maintenance mode. There are provisions for auto shut down of test circuit at critical condition of capacitor and also manual shut down for maintenance or other purposes. The scheme is equipped with web based remote monitoring and maintenance feature. The proposed technique can be customized for condition monitoring and maintenance of critical components in any power electronic system.

Keywords: Aluminum electrolytic capacitor; Condition based maintenance; Equivalent series resistance (ESR); Remaining useful life (RUL); Wear-out condition (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-015-0410-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:7:y:2016:i:1:d:10.1007_s13198-015-0410-2

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-015-0410-2

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().