Commenced in January 2007
Paper Count: 30054
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.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1060253Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF
 Arshad M, I.S.M., Power Transformer Critical Diagnostics for Reliability and Life Extension. CCECE 2004-CCGEI 2004, 2004: p. 625-628.
 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.
 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.
 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.
 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.
 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.
 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.
 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.
 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.
 Fountain, T., Software advances in measurement and instrumentation. IEE Colloquium on Software Instrumentation - Software Components,, 2004: p. 1-45.
 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.
 Dr. Sarma S, K.G.N.S., ANN Approach For Condition Monitoring of Power Transformer Using DGA. IEEE International Conference, 2004: p. 444-447.
 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.