Research on Transformer Condition-based Maintenance System using the Method of Fuzzy Comprehensive Evaluation
This study adopted previous fault patterns, results of
detection analysis, historical records and data, and experts-
experiences to establish fuzzy principles and estimate the failure
probability index of components of a power transformer. Considering
that actual parameters and limiting conditions of parameters may
differ, this study used the standard data of IEC, IEEE, and CIGRE as
condition parameters. According to the characteristics of each
condition parameter, relative degradation was introduced to reflect the
degree of influence of the factors on the transformer condition. The
method of fuzzy mathematics was adopted to determine the
subordinate function of the transformer condition. The calculation
used the Matlab Fuzzy Tool Box to select the condition parameters of
coil winding, iron core, bushing, OLTC, insulating oil and other
auxiliary components and factors (e.g., load records, performance
history, and maintenance records) of the transformer to establish the
fuzzy principles. Examples were presented to support the rationality
and effectiveness of the evaluation method of power transformer
performance conditions, as based on fuzzy comprehensive evaluation.
[1] M. Duval, "A review of faults detectable by gas-in-oil analysis in
transformers," IEEE Insulation Magazine, vol. 18, no. 3, pp. 8-17, May/
Jun. 2002.
[2] IEC Publication 599, "Interpretation of the Analysis of Gases in
Transformer and Other Oil-Filled Electrical Equipment in Service,"
Approved 26 September 2008 IEEE-SA Standards Board, IEEE Std.
C57.104-2008, pp.1-19.
[3] Mohd Taufig Ishak and Zhongdong Wang, "Transformer Hotspot
Temperature Calculation using IEEE Loading Guide," in Proceeding
2008 International Conference on Conditioning and Diagnosis, April
21-24, 2008, pp.1-4.
[4] A. Naderian, S. Cress, and R. Peircy, "An approach to determine the
health index of power transformers," in Proc. IEEE Int. Symp. Electrical
Insulation, Jun. 2008, Vancouver, Canada, pp. 192-196.
[5] H.T. Yang, C.C. Liao, Adaptive fuzzy diagnosis system for dissolved gas
analysis of power transformers, IEEE Trans. Power Delivery 14 (4)(1999)
1342-1350.
[6] S. M. Islam, T. Wu, and G. Ledwich, "A Novel Fuzzy Logic Approach to
Transformer Fault Diagnostics," IEEE Transactions on Dielectrics &
Electrical Insulation, vol. 7 No. 2, April 2000.
[7] Wen. Lan, "Fuzzy comprehensive evaluation method and AHP analysis
method used in fault evaluation of spacecraft", 2005 Spacecraft
Environment Engineering, Beijing, China, pp.25-3, 2005
[8] LU Xuxiang , LI Luping, Estimation for operating state of condenser
based on fuzzy synt hesis judgement . Turbine Technology , 2001 , 43 (5)
: 3012303.
[9] IEEE Guide for Acceptance and Maintenance of Insulating Oil in
Equipment, IEEE Std C57.106-2006, IEEE Transformers Committee,
2006.
[10] IEEE Standards, Mineral Oil Impregnated Electrical Equipment in
Service-IEEE Guide to Interpretation of Dissolved and Free Gases
Analysis, IEEE c57.104, Page(s) 1-78.
[11] IEEE Standards IEC60599, IEEE Guide for the Interpretation of Gases
Generated in Oil-Immersed Transformers, Page(s) 1-36.
[12] IEEE Guide for Diagnostics Field Testing of Electric Power
ApparatusÔÇöPart1: Oil-Filled Power Transformers, Regulators, and
Reactors, IEEE Std 62,1995.
[13] M. Wang and K. D. Srivastava, "Review of condition assessment of
power transformers in service," IEEE Electr. Insul. Mag., vol. 18, no. 6,
pp. 12-25 Nov./Dec. 2002.
[1] M. Duval, "A review of faults detectable by gas-in-oil analysis in
transformers," IEEE Insulation Magazine, vol. 18, no. 3, pp. 8-17, May/
Jun. 2002.
[2] IEC Publication 599, "Interpretation of the Analysis of Gases in
Transformer and Other Oil-Filled Electrical Equipment in Service,"
Approved 26 September 2008 IEEE-SA Standards Board, IEEE Std.
C57.104-2008, pp.1-19.
[3] Mohd Taufig Ishak and Zhongdong Wang, "Transformer Hotspot
Temperature Calculation using IEEE Loading Guide," in Proceeding
2008 International Conference on Conditioning and Diagnosis, April
21-24, 2008, pp.1-4.
[4] A. Naderian, S. Cress, and R. Peircy, "An approach to determine the
health index of power transformers," in Proc. IEEE Int. Symp. Electrical
Insulation, Jun. 2008, Vancouver, Canada, pp. 192-196.
[5] H.T. Yang, C.C. Liao, Adaptive fuzzy diagnosis system for dissolved gas
analysis of power transformers, IEEE Trans. Power Delivery 14 (4)(1999)
1342-1350.
[6] S. M. Islam, T. Wu, and G. Ledwich, "A Novel Fuzzy Logic Approach to
Transformer Fault Diagnostics," IEEE Transactions on Dielectrics &
Electrical Insulation, vol. 7 No. 2, April 2000.
[7] Wen. Lan, "Fuzzy comprehensive evaluation method and AHP analysis
method used in fault evaluation of spacecraft", 2005 Spacecraft
Environment Engineering, Beijing, China, pp.25-3, 2005
[8] LU Xuxiang , LI Luping, Estimation for operating state of condenser
based on fuzzy synt hesis judgement . Turbine Technology , 2001 , 43 (5)
: 3012303.
[9] IEEE Guide for Acceptance and Maintenance of Insulating Oil in
Equipment, IEEE Std C57.106-2006, IEEE Transformers Committee,
2006.
[10] IEEE Standards, Mineral Oil Impregnated Electrical Equipment in
Service-IEEE Guide to Interpretation of Dissolved and Free Gases
Analysis, IEEE c57.104, Page(s) 1-78.
[11] IEEE Standards IEC60599, IEEE Guide for the Interpretation of Gases
Generated in Oil-Immersed Transformers, Page(s) 1-36.
[12] IEEE Guide for Diagnostics Field Testing of Electric Power
ApparatusÔÇöPart1: Oil-Filled Power Transformers, Regulators, and
Reactors, IEEE Std 62,1995.
[13] M. Wang and K. D. Srivastava, "Review of condition assessment of
power transformers in service," IEEE Electr. Insul. Mag., vol. 18, no. 6,
pp. 12-25 Nov./Dec. 2002.
@article{"International Journal of Electrical, Electronic and Communication Sciences:50018", author = "Po-Chun Lin and Jyh-Cherng Gu", title = "Research on Transformer Condition-based Maintenance System using the Method of Fuzzy Comprehensive Evaluation", abstract = "This study adopted previous fault patterns, results of
detection analysis, historical records and data, and experts-
experiences to establish fuzzy principles and estimate the failure
probability index of components of a power transformer. Considering
that actual parameters and limiting conditions of parameters may
differ, this study used the standard data of IEC, IEEE, and CIGRE as
condition parameters. According to the characteristics of each
condition parameter, relative degradation was introduced to reflect the
degree of influence of the factors on the transformer condition. The
method of fuzzy mathematics was adopted to determine the
subordinate function of the transformer condition. The calculation
used the Matlab Fuzzy Tool Box to select the condition parameters of
coil winding, iron core, bushing, OLTC, insulating oil and other
auxiliary components and factors (e.g., load records, performance
history, and maintenance records) of the transformer to establish the
fuzzy principles. Examples were presented to support the rationality
and effectiveness of the evaluation method of power transformer
performance conditions, as based on fuzzy comprehensive evaluation.", keywords = "Fuzzy, relative degradation degree, condition-basedmaintenance, power transformer", volume = "5", number = "8", pages = "918-5", }