TY - GEN
T1 - Emerging trends for determining incipient faults by dissolved gas analysis
AU - Chatterjee, Kingshuk
AU - Jadoun, Vinay Kumar
AU - Jarial, R. K.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/2
Y1 - 2018/2/2
N2 - Dissolved Gas Analysis has been one of the most extensively used tools for health monitoring of power transformers. Since its introduction, researchers have been working on to increase its ability to predict the incipient faults more accurately. DGA methods have been shifting from off-line to online monitoring, and interpretation techniques from key gas and ratio methods to graphical methods and more advanced methods. But presently, the DGA data is used to interpret more detailed information about the faults like severity of the fault or involvement of solid insulation. In this paper, an effort has been made to cover some of such emerging techniques in the field of DGA along with issues like stray gassing problem, scheduling DGA inspection etc. With the development of alternate insulating liquids, DGA of such liquids is gaining importance and have been proactively covered in this paper. Further, the extensive implementation of AI techniques for more flexible interpretation of DGA data is also evaluated through this paper.
AB - Dissolved Gas Analysis has been one of the most extensively used tools for health monitoring of power transformers. Since its introduction, researchers have been working on to increase its ability to predict the incipient faults more accurately. DGA methods have been shifting from off-line to online monitoring, and interpretation techniques from key gas and ratio methods to graphical methods and more advanced methods. But presently, the DGA data is used to interpret more detailed information about the faults like severity of the fault or involvement of solid insulation. In this paper, an effort has been made to cover some of such emerging techniques in the field of DGA along with issues like stray gassing problem, scheduling DGA inspection etc. With the development of alternate insulating liquids, DGA of such liquids is gaining importance and have been proactively covered in this paper. Further, the extensive implementation of AI techniques for more flexible interpretation of DGA data is also evaluated through this paper.
UR - https://www.scopus.com/pages/publications/85050880127
UR - https://www.scopus.com/pages/publications/85050880127#tab=citedBy
U2 - 10.1109/CATCON.2017.8280185
DO - 10.1109/CATCON.2017.8280185
M3 - Conference contribution
AN - SCOPUS:85050880127
T3 - 2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017 - Proceedings
SP - 63
EP - 68
BT - 2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2017
Y2 - 16 November 2017 through 18 November 2017
ER -