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Power Transformer Condition Assessment Based on Support Vector Machine

Author: LiZuo
Tutor: LvFangCheng
School: North China Electric Power University (Hebei)
Course: High Voltage and Insulation Technology
Keywords: transformer
CLC: TM41
Type: Master's thesis
Year: 2009
Downloads: 155
Quote: 1
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Abstract


Power transformer is the hub of the power system equipment, its operation reliability and the safety of the power system is closely related to the running state of transformer effective evaluation and transformer fault type of accurate diagnosis has been power workers research emphasis and difficulty. Combining with the oil chromatographic analysis technique, by using the genetic algorithm to optimize the least squares support vector machine (SVM) established the power transformer fault prediction, fault diagnosis and state evaluation universal model, this model need data quantity is small, the generalization ability is strong, and through multiple field case analysis show that the presented method is correct and effective. At the same time, this paper developed a set based on SQL Server 2005 and Visual Studio 2005 power transformer data management and state evaluation expert system, the system runs stably, simple operation, has greatly improved the power transformer state information management and maintenance efficiency, lay the foundation for the state overhaul.

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CLC: > Industrial Technology > Electrotechnical > Transformers, converters and reactors > Power transformers
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