Skip to main navigation Skip to search Skip to main content

Frequency Response Function of Short Circuit Vibration for Power Transformer

  • Fan Zhang
  • , Shengchang Ji
  • , Lingyu Zhu
  • , Cao Zhan
  • , Chao Fang
  • , Wei Du
  • , Qianwen Zhou

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Offline method cannot make online diagnosis and assessment of transformer winding's mechanical condition once short-circuit occurs. A new method for characterizing the mechanical features is proposed via acquiring the frequency response function (FRF) of winding vibration under short-circuit impulse. The vibration signal from transformer oil tank and the short-circuit current from recorder are synthesized to establish a single-input and multiple-output vibration system, and the FRF of winding vibration is acquired in terms of the auto-power spectral density function. The correlation analysis determines the correlation coefficient (CC) of FRF under multiple short-circuit impulse. The short-circuit test for a 220 kV power transformer indicates that under multiple short-circuit impulse, the CC of FRF and the deviation of phase reactance obey the negative correlation, namely, the CC decreases with the increasing phase reactance deviation, and the larger the deviation of phase reactance, the smaller the CC. Compared with the traditional offline methods, this method takes advantages of the recorder information in the accident, and employs the FRF of winding vibration as well as CC between two short-circuit impulses to characterize the mechanical features of transformer winding.

Original languageEnglish
Pages (from-to)97-103 and 154
JournalHsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
Volume51
Issue number2
DOIs
StatePublished - 10 Feb 2017

Keywords

  • Correlation coefficient
  • Fault diagnosis
  • Frequency response function
  • Power transformer vibration
  • Short-circuit

Fingerprint

Dive into the research topics of 'Frequency Response Function of Short Circuit Vibration for Power Transformer'. Together they form a unique fingerprint.

Cite this