A New Online Method Based on Leakage Flux Analysis for the Early Detection and Location of Insulating Failures in Power Transformers: Application to Remote Condition Monitoring

2007 ◽  
Vol 22 (3) ◽  
pp. 1591-1602 ◽  
Author(s):  
Mans F. Cabanas ◽  
Manuel G. Melero ◽  
Francisco Pedrayes ◽  
Carlos H. Rojas ◽  
Gonzalo A. Orcajo ◽  
...  
Keyword(s):  
Early Detection ◽  
Condition Monitoring ◽  
Power Transformers ◽  
Flux Analysis ◽  
Leakage Flux

scholarly journals INSULATION FAULT DIAGNOSIS IN HIGH VOLTAGE POWER TRANSFORMERS BY MEANS OF LEAKAGE FLUX ANALYSIS

2011 ◽  
Vol 114 ◽  
pp. 211-234 ◽  
Author(s):  
Manes Fernandez Cabanas ◽  
Francisco Pedrayes Gonz�lez ◽  
Manuel Garc�a Melero ◽  
Carlos H. Rojas Garc�a ◽  
Gonzalo Alonso Orcajo ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
High Voltage ◽  
Power Transformers ◽  
Flux Analysis ◽  
Leakage Flux

Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review

2021 ◽  
pp. 1-1
Author(s):  
Israel Zamudio-Ramirez ◽  
Roque A Alfredo Osornio-Rios ◽  
Jose Alfonso Antonino-Daviu ◽  
Hubert Razik ◽  
Rene de Jesus Romero-Troncoso
Keyword(s):  
Magnetic Flux ◽  
Condition Monitoring ◽  
Electric Machines ◽  
Flux Analysis

A Highly Reliable Online Monitoring and Real-Time Alarm System for the Insulation Condition of Power Transformers

2014 ◽  
Vol 971-973 ◽  
pp. 1045-1050
Author(s):  
Wen Xing Sun ◽  
Zhao Hui Li ◽  
Shi Jie Cheng
Keyword(s):  
Electric Power ◽  
Real Time ◽  
Condition Monitoring ◽  
Online Monitoring ◽  
Hydropower Plant ◽  
Power Transformers ◽  
Monitoring Systems ◽  
Alarm System ◽  
Condition Monitoring Systems ◽  
Insulation Condition

Many successful applications for the online monitoring of the insulation condition for electric power transformers have been reported over last thirty years. However, false or unsolved alarms have been quite frequently generated by those condition monitoring systems. Failures and some occasionally catastrophic accidents involving transformers have still occurred. A highly reliable insulation condition online monitoring and real-time alarm system has been developed, to help resolve these problems. An electric power transformer has strongly linked mechanical, electrical, magnetic, chemical and thermal characteristics, and is also directly linked to circuit breakers and generators. Team Intelligence (TI) was employed to integrate all the monitoring modules of the various different aspects of the transformer into one unique system. This system could also be integrate with the condition monitoring systems of various linked facilities, such as the monitoring systems of the turbine and the generator in a Optimal Maintenance Information System for Hydropower Plant (HOMIS). Highly reliable monitoring and real-time alarms of transformer insulation condition could be achieved, due to highly coordinated and rapid response features. This system has been deployed in several hydropower plants. The industrial application examples are demonstrated.

scholarly journals On Simplified Calculations of Leakage Inductances of Power Transformers

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4952 ◽  
Author(s):  
Tadeusz Sobczyk ◽  
Marcin Jaraczewski
Keyword(s):  
Power Transformer ◽  
Short Circuit ◽  
Power Transformers ◽  
Stray Field ◽  
Good Representation ◽  
The Finite Element Method ◽  
Leakage Inductance ◽  
Leakage Flux ◽  
Calculation Results ◽  
Discrete Differential Operator

This paper deals with the problem of the leakage inductance calculations in power transformers. Commonly, the leakage flux in the air zone is represented by short-circuit inductance, which determines the short-circuit voltage, which is a very important factor for power transformers. That inductance is a good representation of the typical power transformer windings, but it is insufficient for multi-winding ones. This paper presents simple formulae for self- and mutual leakage inductance calculations for an arbitrary pair of windings. It follows from a simple 1D approach to analyzing the stray field using a discrete differential operator, and it was verified by the finite element method (FEM) calculation results.

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