Signal Detection and Pattern Recognition of Switchgear Partial Discharge
نویسندگان
چکیده
منابع مشابه
UHF Signal Processing and Pattern Recognition of Partial Discharge in Gas-Insulated Switchgear Using Chromatic Methodology
The ultra-high frequency (UHF) method is widely used in insulation condition assessment. However, UHF signal processing algorithms are complicated and the size of the result is large, which hinders extracting features and recognizing partial discharge (PD) patterns. This article investigated the chromatic methodology that is novel in PD detection. The principle of chromatic methodologies in col...
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In the paper, a new partial discharge pattern recognition approach based on association rules mining is developed. Some statistical parameters are extracted from the sampled transient earth voltage data and classic Apriori algorithm is employed to mine the association rules between those parameters and the corresponding fault types. Moreover, using other experimental data obtained in the labora...
متن کاملPartial Discharge Detection of High Voltage Switchgear Using a Ultra High Frequency Sensor
Copyright 2013 KIEEME. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. pISSN: 1229-7607 eISSN: 2092-7592 DOI: http://dx...
متن کاملPartial Discharge Pattern Recognition Using Hilbert – Huang Transform in Acoustic Signal Analysis
This paper proposes new partial discharge (PD) pattern recognition based on the Hilbert–Huang Transform (HHT). First, five types of defect models are well-designed on the base of investigation of many power equipment failures, and a commercial acoustic emission (AE) sensor measures the acoustic signal caused by the PD phenomenon. Next, the HHT can represent instantaneous frequency components th...
متن کاملChaos Synchronization Error Technique-Based Defect Pattern Recognition for GIS through Partial Discharge Signal Analysis
The work is aimed at using the chaos synchronization error dynamics (CSED) technique for defect pattern recognition in gas insulated switchgear (GIS). The radiated electromagnetic waves generated due to internal defects were measured by the self-made ultrahigh frequency (UHF) micro-strip antenna, so as to determine whether partial discharge will occur. Firstly, a data pretreatment is performed ...
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ژورنال
عنوان ژورنال: DEStech Transactions on Engineering and Technology Research
سال: 2018
ISSN: 2475-885X
DOI: 10.12783/dtetr/apop2017/18747