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Research on Multi-level Fault Diagnosis of Current Transformers

Author: LiuZhu
Tutor: ZhuYongLi
School: North China Electric Power University
Course: Proceedings of the
Keywords: Current transformer Support Vector Machine Bayesian Multi-level Fault Diagnosis
CLC: TM452
Type: Master's thesis
Year: 2011
Downloads: 40
Quote: 0
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Abstract


The current transformer is one of the the indispensable electrical equipment in the power system , the use of it will be the primary side current rated current available than convert measurements, to protect the secondary side current . Capacitive type insulated current transformer capacitance pressure structure as the main insulation structure is relatively simple , and has been widely used in the 110 ~ 220 kV system . This type of current transformer failure will not only endanger the personal safety of other electrical equipment and staff , affect the safe operation of the relevant substation , and will cause a decline in the reliability of the entire power system operation . Therefore, the strengthening of the capacitance -type insulated current transformer intelligent fault diagnosis has important implications . The article describes the structural characteristics of the capacitive type insulated current transformer diagnostic methods , and summed up the common faults and their characteristics . The use of the oil chromatography Information , established the initial fault diagnosis model based on support vector machine classifier and Naive Bayes classifier based on the type of current transformer , and two models were compared . After the results of the initial diagnosis part of the electrical test data as the attribute variables , each used to its best advantage of support vector machine and naive Bayesian theory and the use of a threshold determination method , and the establishment of a multi-level capacitance - type insulated current transformer , step-by-step diagnostic model . According to the established model , the programming capacitive type insulated current transformer fault diagnosis system to verify the practicality and effectiveness of the system construction , after instances . Through the established model and system , the first time the introduction of support vector machine and naive Bayesian theory to the capacitance -type insulated current transformer fault diagnosis , provides a new way of thinking for the accurate diagnosis of transformer failure .

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CLC: > Industrial Technology > Electrotechnical > Transformers, converters and reactors > Transformer > Current transformer
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