LabVIEW with Fuzzy Logic Controller Simulation Panel for Condition Monitoring of Oil and Dry Type Transformer
Condition monitoring of electrical power equipment
has attracted considerable attention for many years. The aim of this
paper is to use Labview with Fuzzy Logic controller to build a
simulation system to diagnose transformer faults and monitor its
condition. The front panel of the system was designed using
LabVIEW to enable computer to act as customer-designed
instrument. The dissolved gas-in-oil analysis (DGA) method was
used as technique for oil type transformer diagnosis; meanwhile
terminal voltages and currents analysis method was used for dry type
transformer. Fuzzy Logic was used as expert system that assesses all
information keyed in at the front panel to diagnose and predict the
condition of the transformer. The outcome of the Fuzzy Logic
interpretation will be displayed at front panel of LabVIEW to show
the user the conditions of the transformer at any time.
[1] Arshad M, I.S.M., Power Transformer Critical Diagnostics for
Reliability and Life Extension. CCECE 2004-CCGEI 2004, 2004: p.
625-628.
[2] Gockenbach E, W.P., Borsi H, Monitoring and Diagnostic System for
Dry-Transformers. IEEE 7th International Conference on Solid
Dielectric Eindhoven the Netherlands, 2001: p. 291-294.
[3] Song Y.H, A.T.J., Application of Fuzzy Logic in Power System: Part 2
Comparison and integration with expert systems, neural networks and
genetic algorithms. Power Engineering Journal, 1998: p. 219-222.
[4] Song Y.H, A.T.J., Application of Fuzzy Logic in Power System: Part 1
General Introduction to Fuzzy Logic. Power Engineering Journal, 1997.
11(5): p. 219-222.
[5] Huang Y.C, Y.H.T., Huang C.L, Developing a New Transformer Fault
Diagnosis System through Evolutionary Fuzzy Logic. IEEE Transaction
on Power Delivery, 1997. 12(2): p. 761-767.
[6] Saleh S.A, R.M.A., Modeling and Protection of a Three-Phase
Transformer Using Wavelet Packet Transform. IEEE Transaction on
Power Delivery, 2005. 20(2): p. 1273-1282.
[7] Zhang G, L.Y.S., Ibuka S, Yasuoka K, Isihi S., Application of Fuzzy
Data Processing for Fault Diagnosis for Power Transformer. High
Voltage Engineering Symposium, 1999. -(467): p. 160-163.
[8] Kim J.W, P.B.K., Jeong S.C, Kim S.W, Park P.G, Fault Diagnosis of a
Power Transformer Using an Improved Frequency-Response Analysis.
IEEE Transaction on Power Delivery, 2005. 20(1): p. 169-178.
[9] Higa, M.L.T., D.M; Lord, S.M.;, An Introduction to LabVIEW Exercise
for An Electronic Class. 32nd Annual Frontiers in Education 2002, FIE
2002, 2002. 1: p. 6-9.
[10] Fountain, T., Software advances in measurement and instrumentation.
IEE Colloquium on Software Instrumentation - Software Components,,
2004: p. 1-45.
[11] Karen L. B.P, B.M., Mausavi M.J, Peter P.B, Experimental Investigation
of Internal Short Circuit Fault Leading to Advanced Incipient Behavior
and Failure of Distribution Transformer. IEEE Trans., 2004.
[12] Dr. Sarma S, K.G.N.S., ANN Approach For Condition Monitoring of
Power Transformer Using DGA. IEEE International Conference, 2004:
p. 444-447.
[13] Islam S.M, W.T., Ledwich G., A Novel Fuzzy Logic Approach to
Transformer Faults Diagnosis. IEEE Transaction on Dielectric and
Electrical Insulation, 2000. 7(2): p. 177-186.
[1] Arshad M, I.S.M., Power Transformer Critical Diagnostics for
Reliability and Life Extension. CCECE 2004-CCGEI 2004, 2004: p.
625-628.
[2] Gockenbach E, W.P., Borsi H, Monitoring and Diagnostic System for
Dry-Transformers. IEEE 7th International Conference on Solid
Dielectric Eindhoven the Netherlands, 2001: p. 291-294.
[3] Song Y.H, A.T.J., Application of Fuzzy Logic in Power System: Part 2
Comparison and integration with expert systems, neural networks and
genetic algorithms. Power Engineering Journal, 1998: p. 219-222.
[4] Song Y.H, A.T.J., Application of Fuzzy Logic in Power System: Part 1
General Introduction to Fuzzy Logic. Power Engineering Journal, 1997.
11(5): p. 219-222.
[5] Huang Y.C, Y.H.T., Huang C.L, Developing a New Transformer Fault
Diagnosis System through Evolutionary Fuzzy Logic. IEEE Transaction
on Power Delivery, 1997. 12(2): p. 761-767.
[6] Saleh S.A, R.M.A., Modeling and Protection of a Three-Phase
Transformer Using Wavelet Packet Transform. IEEE Transaction on
Power Delivery, 2005. 20(2): p. 1273-1282.
[7] Zhang G, L.Y.S., Ibuka S, Yasuoka K, Isihi S., Application of Fuzzy
Data Processing for Fault Diagnosis for Power Transformer. High
Voltage Engineering Symposium, 1999. -(467): p. 160-163.
[8] Kim J.W, P.B.K., Jeong S.C, Kim S.W, Park P.G, Fault Diagnosis of a
Power Transformer Using an Improved Frequency-Response Analysis.
IEEE Transaction on Power Delivery, 2005. 20(1): p. 169-178.
[9] Higa, M.L.T., D.M; Lord, S.M.;, An Introduction to LabVIEW Exercise
for An Electronic Class. 32nd Annual Frontiers in Education 2002, FIE
2002, 2002. 1: p. 6-9.
[10] Fountain, T., Software advances in measurement and instrumentation.
IEE Colloquium on Software Instrumentation - Software Components,,
2004: p. 1-45.
[11] Karen L. B.P, B.M., Mausavi M.J, Peter P.B, Experimental Investigation
of Internal Short Circuit Fault Leading to Advanced Incipient Behavior
and Failure of Distribution Transformer. IEEE Trans., 2004.
[12] Dr. Sarma S, K.G.N.S., ANN Approach For Condition Monitoring of
Power Transformer Using DGA. IEEE International Conference, 2004:
p. 444-447.
[13] Islam S.M, W.T., Ledwich G., A Novel Fuzzy Logic Approach to
Transformer Faults Diagnosis. IEEE Transaction on Dielectric and
Electrical Insulation, 2000. 7(2): p. 177-186.
@article{"International Journal of Electrical, Electronic and Communication Sciences:54105", author = "N. A. Muhamad and S.A.M. Ali", title = "LabVIEW with Fuzzy Logic Controller Simulation Panel for Condition Monitoring of Oil and Dry Type Transformer", abstract = "Condition monitoring of electrical power equipment
has attracted considerable attention for many years. The aim of this
paper is to use Labview with Fuzzy Logic controller to build a
simulation system to diagnose transformer faults and monitor its
condition. The front panel of the system was designed using
LabVIEW to enable computer to act as customer-designed
instrument. The dissolved gas-in-oil analysis (DGA) method was
used as technique for oil type transformer diagnosis; meanwhile
terminal voltages and currents analysis method was used for dry type
transformer. Fuzzy Logic was used as expert system that assesses all
information keyed in at the front panel to diagnose and predict the
condition of the transformer. The outcome of the Fuzzy Logic
interpretation will be displayed at front panel of LabVIEW to show
the user the conditions of the transformer at any time.", keywords = "LabVIEW, Fuzzy Logic, condition monitoring, oiltransformer, dry transformer, DGA, terminal values.", volume = "2", number = "8", pages = "1631-7", }