R. Malewski, A. Yu. Khrennikov, O. A. Shlegel and A. G. Dolgopolov, “Monitoring of Winding Displacements in HV Transformers in Service,” Reports of CIGRE Working Group 33.03, Padua, 4-9 September 1995.

has been cited by the following article:

• TITLE: New “Intellectual Networks” (Smart Grid) for Detecting Electrical Equipment Faults, Defects and Weaknesses

  AUTHORS: Alexander Yu. Khrennikov

  KEYWORDS: Intellectual Networks; Smart Grid; Monitoring System; Electrical Equipment; Information-Measuring System; Frequency Response Analysis; Transformer Winding Fault Diagnostic; Low Voltage Impulse Method; Short-Circuit Inductive Reactance Measurement

  JOURNAL NAME: Smart Grid and Renewable Energy, Vol.3 No.3, August 31, 2012

  ABSTRACT: The most important elements of “intellectual networks” (Smart Grid) are the systems of monitoring the parameters of electrical equipment. Information-measuring systems (IMS), which described in this paper, were proposed to use together with rapid digital protection against short-circuit regimes in transformer windings. This paper presents an application’s experience of LVI-testing, some results of the use of Frequency Response Analysis (FRA) to check the condition of transformer windings and infra-red control results of electrical equipment. The LVI method and short-circuit inductive reactance measurements are sensitive for detecting such faults as radial, axial winding deformations, a twisting of low-voltage or regulating winding, a losing of winding’s pressing and others.