Detection of Winding Faults Based on a Characterization of the Nonlinear Dynamics of Transformers

Jing Zheng, Hai Huang, Jie Pan

Research output: Contribution to journalArticle

Abstract

The electrical-mechanical dynamics of a transformer may be described by a model with cascade-connected linear and nonlinear parts. This paper shows that mechanical faults have a significant influence on the linear part of the model. A change in the system order of the linear part of the model can be used as an indicator of variance in a transformer's physical characteristics. A technique based on the Lipschitz criterion is developed to estimate the system order, which is then used for detecting changes in the vibration of the system caused by mechanical faults in the windings. The proposed method is tested on a three-phase power transformer, demonstrating promising detection of faults in transformer windings.

Original languageEnglish
Article number8374098
Pages (from-to)206-214
JournalIEEE Transactions on Instrumentation and Measurement
Volume68
Issue number1
DOIs
Publication statusPublished - Jan 2019

Fingerprint

transformers
Transformer windings
Power transformers
cascades
vibration
estimates

Cite this

@article{c4654a4f6b204a4c84d18da4a4ae55f7,
title = "Detection of Winding Faults Based on a Characterization of the Nonlinear Dynamics of Transformers",
abstract = "The electrical-mechanical dynamics of a transformer may be described by a model with cascade-connected linear and nonlinear parts. This paper shows that mechanical faults have a significant influence on the linear part of the model. A change in the system order of the linear part of the model can be used as an indicator of variance in a transformer's physical characteristics. A technique based on the Lipschitz criterion is developed to estimate the system order, which is then used for detecting changes in the vibration of the system caused by mechanical faults in the windings. The proposed method is tested on a three-phase power transformer, demonstrating promising detection of faults in transformer windings.",
keywords = "Model-based fault detection, order determination, power transformer, vibration, winding.",
author = "Jing Zheng and Hai Huang and Jie Pan",
year = "2019",
month = "1",
doi = "10.1109/TIM.2018.2838178",
language = "English",
volume = "68",
pages = "206--214",
journal = "Institute of Electrical and Electronics Engineers Transactions on Instrumentation and Measurement",
issn = "0018-9456",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
number = "1",

}

Detection of Winding Faults Based on a Characterization of the Nonlinear Dynamics of Transformers. / Zheng, Jing; Huang, Hai; Pan, Jie.

In: IEEE Transactions on Instrumentation and Measurement, Vol. 68, No. 1, 8374098, 01.2019, p. 206-214.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Detection of Winding Faults Based on a Characterization of the Nonlinear Dynamics of Transformers

AU - Zheng, Jing

AU - Huang, Hai

AU - Pan, Jie

PY - 2019/1

Y1 - 2019/1

N2 - The electrical-mechanical dynamics of a transformer may be described by a model with cascade-connected linear and nonlinear parts. This paper shows that mechanical faults have a significant influence on the linear part of the model. A change in the system order of the linear part of the model can be used as an indicator of variance in a transformer's physical characteristics. A technique based on the Lipschitz criterion is developed to estimate the system order, which is then used for detecting changes in the vibration of the system caused by mechanical faults in the windings. The proposed method is tested on a three-phase power transformer, demonstrating promising detection of faults in transformer windings.

AB - The electrical-mechanical dynamics of a transformer may be described by a model with cascade-connected linear and nonlinear parts. This paper shows that mechanical faults have a significant influence on the linear part of the model. A change in the system order of the linear part of the model can be used as an indicator of variance in a transformer's physical characteristics. A technique based on the Lipschitz criterion is developed to estimate the system order, which is then used for detecting changes in the vibration of the system caused by mechanical faults in the windings. The proposed method is tested on a three-phase power transformer, demonstrating promising detection of faults in transformer windings.

KW - Model-based fault detection

KW - order determination

KW - power transformer

KW - vibration

KW - winding.

UR - http://www.scopus.com/inward/record.url?scp=85048184030&partnerID=8YFLogxK

U2 - 10.1109/TIM.2018.2838178

DO - 10.1109/TIM.2018.2838178

M3 - Article

VL - 68

SP - 206

EP - 214

JO - Institute of Electrical and Electronics Engineers Transactions on Instrumentation and Measurement

JF - Institute of Electrical and Electronics Engineers Transactions on Instrumentation and Measurement

SN - 0018-9456

IS - 1

M1 - 8374098

ER -