Data Mining Techniques to Assess the Condition of High Voltage Electrical Plant
Data Mining Techniques to Assess the Condition of High Voltage Electrical Plant
复制标题
评估高压电厂状况的数据挖掘技术
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
T. Blackburn
中科院分区：
文献类型：
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作者：
A. McGrail;E. Gulski;E. Groot;D. Allan;D. Birtwhistle;T. Blackburn
充分利用现有传输设备和系统能力的需求不断增加，需要最佳利用企业数据库中的数据资产，还需要开发新的高压设备综合诊断。数据挖掘允许提取新的信息或知识，并开发可视化和分析所持有数据的新方法。因此，数据挖掘应被视为深思熟虑的信息和资产管理战略的一部分。本文概述了一些工作已经完成，以实现这种最佳使用的诊断数据对现代电厂。两种不同的数据挖掘方法进行了讨论，使用不同的诊断测量和测试的例子。通过溶解气体分析、分接开关监测和绝缘子测试的实例，说明Kohonen映射在现有数据和新数据中的应用。此外，另外两个例子说明了数据挖掘的潜力，以产生有用的信息，从全面的现代诊断监测高压电缆和断路器。在科学委员会第十五届会议内设立了一个新的工作队，着手采取协调一致和重点突出的办法，为实际数据挖掘制定准则。
Increasing demands to fully exploit the capabilities of existing transmission equipment and systems require the best use from data assets in corporate databases and also require the development of new and comprehensive diagnostics for high voltage equipment. Data Mining allows extraction of new information or knowledge and development of new methods for visualising and analysing the data held. Consequently, data mining should be seen as part of a well-considered information and asset management strategy. This paper outlines some work which has been done to achieve such optimal use of diagnostic data on modern electrical plant. Two variations of data mining approaches are discussed using examples from different diagnostic measurements and tests. The use of Kohonen mapping applied to existing and new data is illustrated using examples of dissolved gas analysis, tap-changer monitoring and insulator testing. In addition, two other examples are given illustrating the potential for data mining to produce useful information from comprehensive modern diagnostic monitoring of high voltage cables and of circuit breakers. A new task force within SC15 has been established to embark on a coordinated and focussed approach to develop guidelines for data mining in practice.