Online Detection of Transformer Winding Mechanical Faults Using Estimation of the Transfer Function of the UWB Wave Propagation Channel

Authors

1 Electrical and Computer Engineering Department, University of Kashan, Kashan, Iran

2 Electrical and Computer Engineering Department, Isfahan University of Technology, Isfahan, Iran

3 Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran

Abstract

Transformer winding mechanical fault detection by Ultra Wide Band (UWB) Sensors has been recently proposed. In this paper, modal analysis technique has been used to detect and estimate radial deformation and axial displacement in transformer winding. In this technique, using the UWB wave propagation channel modeling by transfer function and knowing that mechanical changes affect the channel parameters, the features have been extracted for the fault diagnosis. By choosing the best method of estimating the transfer function, the zeroes and poles in different sound and defective mode has been determined. For diagnosing and determining the approximate amount of the faults, the amounts of Zeroes and Poles of the Transfer Function have been compared in different modes. The measurement results have been shown that the proposed method can be successful in the detection of the fault but it cannot determine the amount of the faults accurately. According to the capabilities of the proposed method, it can be used in combination with the previously introduced Radar Imaging Method.

Keywords

TABRIZ JOURNAL OF ELECTRICAL ENGINEERING
Volume 47, Issue 4 - Serial Number 82
February 2017
Pages 1307-1315

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