Discussion on “The dynamic behaviour of a transformer winding under axial short-circuit forces”

1963 ◽  
Vol 110 (9) ◽  
pp. 1688
Keyword(s):  
Dynamic Behaviour ◽  
Short Circuit ◽  
Transformer Winding

The dynamic behaviour of a transformer winding under axial short-circuit forces

1963 ◽  
Vol 110 (3) ◽  
pp. 535 ◽  
Author(s):  
A.B. Madin ◽  
J.D. Whitaker
Keyword(s):  
Dynamic Behaviour ◽  
Short Circuit ◽  
Transformer Winding

Multi-Frequency Acoustic Signal Under Short-Circuit Transient and Its Application on the Condition Monitoring of Transformer Winding

2019 ◽  
Vol 34 (4) ◽  
pp. 1666-1673 ◽  
Author(s):  
Yuhang Shi ◽  
Shengchang Ji ◽  
Fan Zhang ◽  
Fuqiang Ren ◽  
Lingyu Zhu ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Acoustic Signal ◽  
Short Circuit ◽  
Transformer Winding

scholarly journals A transformer winding deformation detection method based on the analysis of leakage inductance changes

2015 ◽  
Vol 64 (2) ◽  
pp. 333-346
Author(s):  
Li Jiansheng ◽  
Tao Fengbo ◽  
Wei Chao ◽  
Lu Yuncai ◽  
Wu Peng ◽  
...  
Keyword(s):  
Measurement Errors ◽  
Detection Method ◽  
Time Window ◽  
Short Circuit ◽  
Normal Function ◽  
Random Fluctuation ◽  
Least Squares Regression ◽  
Leakage Inductance ◽  
Transformer Winding ◽  
Winding Deformation

Abstract The detection of transformer winding deformation caused by short-circuit current is of great significance to the realization of condition based maintenance. Considering the influence of environment and measurement errors, an online deformation detection method is proposed based on the analysis of leakage inductance changes. First, the operation expressions are derived on the basis of the equivalent circuit and the leakage inductance parameters are identified by the partial least squares regression algorithm. Second, the amount of the leakage inductance samples in a detection time window is determined using the Monte Carlo simulation thought, and then the samples in the confidence interval are obtained. Last, a criteria is built by the mean value changes of the leakage inductance samples and the winding deformation is detected. The online detection method considers the random fluctuation characteristics of the leakage inductance samples, adjust the threshold value automatically, and can quantify the change range to assess the severity. Based on the field data, the distribution of the leakage inductance samples is analyzed to obey the normal function approximately. Three deformation experiments are done by different sub-winding connections and the detection results verify the effectiveness of the proposed method

scholarly journals Electromagnetic vibration analysis method of short circuit in transformer winding based on field circuit coupling

2019 ◽  
Vol 1311 ◽  
pp. 012022
Author(s):  
FangZhou Hao ◽  
Haiyan Wen ◽  
Hongshan Zhao ◽  
Zili Li
Keyword(s):  
Vibration Analysis ◽  
Short Circuit ◽  
Analysis Method ◽  
Electromagnetic Vibration ◽  
Transformer Winding
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