TY - GEN
T1 - Improving diagnostic technique of moisture content in power transformers using adaptive neuro-fuzzy inference system
AU - Sekatane, Permit
AU - Bokoro, Pitshou
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/23
Y1 - 2021/8/23
N2 - Effective diagnostic techniques of moisture content are fundamentally meant to maximize proper maintenance planning, reliability, quality and safe operation of power transformers. A literature survey reveals that moisture content drastically affects the insulation system of power transformer by; reducing its dielectric strength, accelerating cellulose ageing and causing partial discharge at high temperatures. Traditional technique such as Dew-Point method of moisture evaluation, although used by power transformers' manufacturers, contains few errors related to inaccurate measurements. This work discusses the improvement of Dew-Point (DP) measurement approach using artificial intelligence, particularly the Adaptive Neuro Fuzzy Inference System (ANFIS). The proposed method has proven to have improved the diagnosis efficiency of Dew-Point techniques by 5%.
AB - Effective diagnostic techniques of moisture content are fundamentally meant to maximize proper maintenance planning, reliability, quality and safe operation of power transformers. A literature survey reveals that moisture content drastically affects the insulation system of power transformer by; reducing its dielectric strength, accelerating cellulose ageing and causing partial discharge at high temperatures. Traditional technique such as Dew-Point method of moisture evaluation, although used by power transformers' manufacturers, contains few errors related to inaccurate measurements. This work discusses the improvement of Dew-Point (DP) measurement approach using artificial intelligence, particularly the Adaptive Neuro Fuzzy Inference System (ANFIS). The proposed method has proven to have improved the diagnosis efficiency of Dew-Point techniques by 5%.
KW - Adaptive neuro-fuzzy inference system
KW - Diagnostic technique
KW - Moisture content
KW - Power transformers
UR - http://www.scopus.com/inward/record.url?scp=85116609165&partnerID=8YFLogxK
U2 - 10.1109/PowerAfrica52236.2021.9543437
DO - 10.1109/PowerAfrica52236.2021.9543437
M3 - Conference contribution
AN - SCOPUS:85116609165
T3 - 2021 IEEE PES/IAS PowerAfrica, PowerAfrica 2021
BT - 2021 IEEE PES/IAS PowerAfrica, PowerAfrica 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th Annual IEEE Power and Energy Society and Industrial Applications Society PowerAfrica Conference, PowerAfrica 2021
Y2 - 23 August 2021 through 27 August 2021
ER -