Next Article in Journal
Electrochemical and Infrared Absorption Spectroscopy Detection of SF6 Decomposition Products
Next Article in Special Issue
Survey on the Performance of Source Localization Algorithms
Previous Article in Journal
Monocular Visual-Inertial SLAM: Continuous Preintegration and Reliable Initialization
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(11), 2625; https://doi.org/10.3390/s17112625

Detection of Partial Discharge Sources Using UHF Sensors and Blind Signal Separation

1
Department of Electronic Technology, Universidad Carlos III de Madrid, Avda, Universidad, 30, 28911 Leganés, Madrid, Spain
2
Department of Electrical Engineering, Universidad Carlos III de Madrid, Avda, Universidad, 30, 28911 Leganés, Madrid, Spain
3
Department of Signal Processing and Communications, Universidad Carlos III de Madrid, Avda, Universidad, 30, 28911 Leganés, Madrid, Spain
*
Author to whom correspondence should be addressed.
Received: 16 October 2017 / Revised: 10 November 2017 / Accepted: 10 November 2017 / Published: 15 November 2017
(This article belongs to the Special Issue UHF and RF Sensor Technology for Partial Discharge Detection)
View Full-Text   |   Download PDF [1736 KB, uploaded 15 November 2017]   |  

Abstract

The measurement of the emitted electromagnetic energy in the UHF region of the spectrum allows the detection of partial discharges and, thus, the on-line monitoring of the condition of the insulation of electrical equipment. Unfortunately, determining the affected asset is difficult when there are several simultaneous insulation defects. This paper proposes the use of an independent component analysis (ICA) algorithm to separate the signals coming from different partial discharge (PD) sources. The performance of the algorithm has been tested using UHF signals generated by test objects. The results are validated by two automatic classification techniques: support vector machines and similarity with class mean. Both methods corroborate the suitability of the algorithm to separate the signals emitted by each PD source even when they are generated by the same type of insulation defect. View Full-Text
Keywords: blind source separation; electric insulation; partial discharges; UHF detection blind source separation; electric insulation; partial discharges; UHF detection
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Boya, C.; Robles, G.; Parrado-Hernández, E.; Ruiz-Llata, M. Detection of Partial Discharge Sources Using UHF Sensors and Blind Signal Separation. Sensors 2017, 17, 2625.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top