scholarly journals ANALISA UNJUK KINERJA KONDISI MINYAK TRAFO DENGAN FUZZY LOGIC

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Very Irawan
Keyword(s):  
Fuzzy Logic ◽  
Partial Discharge ◽  
Combustible Gas ◽  
Thermal Oil

Fenomena kegagalan (failure) pada transformator pada umumnya dibagi menajdi dua, yaitu kegagalan thermal dan  kegagalan electrical. Arcing, partial discharge, dan overheating pada sistem isolasi adalah kegagalan yang kerap terjadi pada trafo daya. Hal ini diawali dengan dekomposisi bahan isolasi dan pembentukan kandungan gas yang berbeda. hidrogen (H2), metana (CH4), etana (C2H6), etilin (C2H4), asetilin (C2H2), karbon monoksida (CO) dan karbon dioksida (CO2) adalah gas-gas yang dapat terbentuk. Metode analisis yang digunakan dalam penelitian ini adalah Total Dissolved Combustible Gas (TDCG), Key Gas dan Roger’s Ratio berbasis fuzzy MATLAB. Adapun rasio perbandingan gas yang dimasukan adalah gas asetilin (C2H2) dibagi etilin (C2H4), metana (CH4) dibagi hidrogen (H2), etilin (C2H4) dibagi etana (C2H6). Output pengujian yaitu parameter variabel prosentase maksimal operasi beban trafo yang diizinkan, waktu pengambilan sample minyak trafo selanjutnya, status kondisi trafo berdasar penilaian TDCG, status roger’s ratio, kondisi trafo berdasar thermal oil, discharge (korona) dan thermal cellulose. Untuk memastikan keakuratan program, maka hasil pengujian program MATLAB dibandingkan dengan hasil pengujian laboratorium Vendor.

scholarly journals Comparison of the Performance of Artificial Neural Networks and Fuzzy Logic for Recognizing Different Partial Discharge Sources

Energies ◽  
2017 ◽  
Vol 10 (7) ◽  
pp. 1060 ◽  
Author(s):  
Abdullahi Abubakar Mas’ud ◽  
Jorge Alfredo Ardila-Rey ◽  
Ricardo Albarracín ◽  
Firdaus Muhammad-Sukki ◽  
Nurul Aini Bani
Keyword(s):  
Neural Networks ◽  
Fuzzy Logic ◽  
Artificial Neural Networks ◽  
Partial Discharge ◽  
Artificial Neural

scholarly journals A Novel Fuzzy Logic Based Technique to Find the Criticality of Power Transformer

2013 ◽  
pp. 221-225
Author(s):  
U. Mohan Rao ◽  
R. K. Jarial
Keyword(s):  
Fuzzy Logic ◽  
Power Transformer ◽  
Gas Analysis ◽  
Response Analysis ◽  
Frequency Response Analysis ◽  
Fuzzy Logic Controllers ◽  
Dissolved Gas ◽  
Rule Bases ◽  
Thermal Oil ◽  
Logic Controllers

Determining the current prevailing conditions in the transformer is still a challenge and an attempt is made for meeting the same challenge. In this paper a novel system based on fuzzy logic is developed which considers thermal, electrical and mechanical conditions prevailing in the transformer and gives the critical status of the transformer at an aggregate. The developed system also facilitates to give the critical condition of Paper thermal, Oil thermal, Partial discharge, Electrical arching, Dissolved gas analysis(DGA), Break down voltage and sweep frequency response analysis(SFRA) individually so that corresponding preventive measures can be taken by the technologists. This system consists of 10 fuzzy logic controllers whose connections are made by considering technical conditions and reasons, the corresponding rule bases of these fuzzy logic controllers were developed by considering various standards and experience of TIFAC CORE in NIT-Hamirpur. This fuzzy logic based system is tested for various transformers and found that it is highly précised in classifying the critical statues of any transformer as well as all identifying the current prevailing conditions.

scholarly journals A Novel Technique to Precise the Diagnosis of Power Transformer Internal Faults

2013 ◽  
pp. 169-173
Author(s):  
U. Mohan Rao ◽  
D.Vijay Kumar
Keyword(s):  
Fuzzy Logic ◽  
Power Transformer ◽  
Gas Analysis ◽  
Response Analysis ◽  
Fuzzy Logic Algorithm ◽  
Mechanical Deformations ◽  
Catastrophic Failures ◽  
Internal Faults ◽  
Rule Bases ◽  
Thermal Oil

Power transformers are to be monitored frequently to avoid catastrophic failures which are more or less related to internal faults for which many techniques and tools are developed, somehow many of these techniques rely on experts analysis and are well effected by environmental conditions which leads to misdiagnosing of the unit. In this paper a new fuzzy logic algorithm (FLA) based technique is developed which gives the vulnerability status of internal faults by considering thermal, electrical and mechanical conditions prevailing in the transformer and integrating them. This system takes a set of test results of dissolved gas analysis, break down voltage, and sweep frequency response analysis so that aliasing effects and misdiagnosing can be reduced at a glance. It also facilitates to give current prevailing condition of Paper thermal, Oil thermal, Partial discharge, Electrical arching, oil break down voltage, and mechanical deformations related with core and windings individually so that corresponding remedies can be taken by the technologists. This system consists of 10 fuzzy logic controllers and is connected by considering technical conditions and reasons, the rule bases of these controllers were developed by considering various standards and experience of TIFAC CORE in NIT-Hamirpur. This fuzzy logic based system is tested and found that it is highly precise in classifying the critical statues of any transformer, reducing misdiagnosing and aliasing effects and identifying the current prevailing conditions.

Hysteresis in Categorization: Fuzzy Logic Makes Fuzzy Boundaries

2012 ◽  
Author(s):  
Thomas M. Crawford ◽  
Justin Fine ◽  
Donald Homa
Keyword(s):  
Fuzzy Logic
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