TY - GEN
T1 - Assessment of moisture content in power transformer based on traditional techniques and Adaptive neuro-fuzzy interference system
AU - Sekatane, Permit
AU - Jordaan, Johan
AU - Bokoro, Pitshou
N1 - Publisher Copyright:
© 2019 Chamber of Turkish Electrical Engineers.
PY - 2019/11
Y1 - 2019/11
N2 - The use of traditional measurement techniques for condition monitoring of power transformer is still a common practice in the power industry. These techniques have proven to be unreliable as a result of sampling and analysis errors. Given the unequal moisture distribution between cellulose and mineral oil in power transformers, the dryness correlation between the two liquid insulators is not always accurate. The aim of this work is to advice the manufacturer of power transformers to continue use the Dew point measurement or move to the modern methods, like frequency domain spectroscopy (FDS). Dew point measurements have been used to estimate the dryness of power transformers, model the data by adaptive neuro-fuzzy inference system (ANFIS) as is proven to solve complex data and validate the results by Frequency Domain spectroscopy (FDS).
AB - The use of traditional measurement techniques for condition monitoring of power transformer is still a common practice in the power industry. These techniques have proven to be unreliable as a result of sampling and analysis errors. Given the unequal moisture distribution between cellulose and mineral oil in power transformers, the dryness correlation between the two liquid insulators is not always accurate. The aim of this work is to advice the manufacturer of power transformers to continue use the Dew point measurement or move to the modern methods, like frequency domain spectroscopy (FDS). Dew point measurements have been used to estimate the dryness of power transformers, model the data by adaptive neuro-fuzzy inference system (ANFIS) as is proven to solve complex data and validate the results by Frequency Domain spectroscopy (FDS).
UR - http://www.scopus.com/inward/record.url?scp=85080880492&partnerID=8YFLogxK
U2 - 10.23919/ELECO47770.2019.8990505
DO - 10.23919/ELECO47770.2019.8990505
M3 - Conference contribution
AN - SCOPUS:85080880492
T3 - ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering
SP - 987
EP - 991
BT - ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference on Electrical and Electronics Engineering, ELECO 2019
Y2 - 28 November 2019 through 30 November 2019
ER -