Fault Detection of Power Electronic Circuit using Wavelet Analysis in Modelica

Jianbo Gao; Yang Ji; Johann Bals; Ralph Kennel

Title:

Author:

Jianbo Gao: Technische Universität München, Munich, Germany Yang Ji: German Aerospace Center, Wessling, Germany Johann Bals: German Aerospace Center, Wessling, Germany Ralph Kennel: Technische Universität München, Munich, Germany

DOI:

10.3384/ecp12076513

Download:

Full text (pdf)

Year:

2012

Conference:

Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany

Issue:

076

Article no.:

052

Pages:

513-522

No. of pages:

Publication type:

Abstract and Fulltext

Published:

2012-11-19

ISBN:

978-91-7519-826-2

Series:

Linköping Electronic Conference Proceedings

ISSN (print):

1650-3686

ISSN (online):

1650-3740

Publisher:

Linköping University Electronic Press; Linköpings universitet

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In more electric aircrafts (MEA) the electric power network is important for the reliability. To prevent severe faults it is the key issue to identify the faults in the early stage before a complete failure happens. In this paper an early stage fault detection method using wavelet multi-resolution analysis (MRA) for a regulated buck DC-DC converter is studied. Specifically; the electrolyte input capacitor is diagnosed. The study was carried out using simulation with Modelica / Dymola. The fault features that were extracted from different levels of MRA decomposition provided clear information for both fast and slow occurring faults. This method showed significant advantages compared with filter technique. It is concluded that wavelet transform is a suitable tool for early stage fault detection of the power electronics in MEA. In addition; the simulation language Modelica provides a convenient possibility for the quick design of fault detection strategy.

Keywords: power electronics; DC-DC converter; fault detection; wavelet; Modelica; Dymola

Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany

Author:

Jianbo Gao, Yang Ji, Johann Bals, Ralph Kennel

Title:

Fault Detection of Power Electronic Circuit using Wavelet Analysis in Modelica

DOI:

http://dx.doi.org/10.3384/ecp12076513

References:

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Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany

Author:

Jianbo Gao, Yang Ji, Johann Bals, Ralph Kennel

Title:

Fault Detection of Power Electronic Circuit using Wavelet Analysis in Modelica

DOI:

https://doi.org10.3384/ecp12076513

Note: the following are taken directly from CrossRef

Citations:

Vladyslav V. Tielieha, Iryna R. Lysiu & Tetiana Andriivna Khyzhniak (2019). Identification of the Capacitance Changes in DC-DC Converter Using Wavelets. Microsystems, Electronics and Acoustics, 24(3): 51. DOI: 10.20535/2523-4455.2019.24.3.173424

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Last updated: 2019-11-06