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The association rule from data mining technology was applied into transformer defect analysis so that the frequent pattern, the dependency and the causality between classification and decision attributes could be found based on data of defects. As a result, correlation properties among grid fault elements were seized macroscopically. In this paper which focused on the frequent item mining algorithm...
Condition-based maintenance (CBM) strategies for power equipment are influenced by many factors, such as the equipment's health condition, connecting relations between each equipment and the load level of a substation. This paper presents a new method to optimize the maintenance strategies for different power equipment. Through analyzing the connection relation between different equipment, some of...
Converter transformer is one of the most important equipment in ultra-high voltage direct current transmission system, periodic preventive maintenance strategy is widely in its maintenance. Excessive maintenance often arises in the attempt to always ensure the reliable operation of converter transformers. To solve this problem, this study proposes a maintenance decision optimization method for converter...
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