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Multifactorial Frameworks Modelling Linkages of Power Transformer Failure Modes

机译:电力变压器故障模式链接建模的多因素框架

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Power Transformers are among the most critical assets in a power system, with significant costs as well as long lead times for acquisition. Their failure compromises the power system security. Total protection from electrical, mechanical, chemical and environmental stresses are near impossible leaving them vulnerable to failure via multiple mechanisms. Many researchers have analyzed the various failure mechanisms and have attempted to link specific mechanisms to the physical manifestations responsible for the ultimate failure of the transformer. This paper provides a library of failure frameworks in the various components of the transformer (core, windings, bushings, tank, cooling fins) and their link to the transformer dielectric materials (oil and cellulose). This paper will integrate published studies into a series of structured frameworks. Each framework provides a platform on which to develop improved models of plant reliability, identifying direct linkages between the transformer failure mechanisms and failure modes. With the identification of these linkages, reliability engineers can better understand how transformers fail and the measurands present at the time of failure, thus allowing for implementation of predictive/preventive maintenance regimes that shall be effective in identifying potential failure modes.
机译:电力变压器是电力系统中最关键的资产之一,其成本高昂,而且采购周期长。它们的故障会损害电源系统的安全性。全面保护免受电气,机械,化学和环境压力几乎是不可能的,这使其很容易通过多种机制发生故障。许多研究人员分析了各种故障机理,并试图将特定的机理与导致变压器最终故障的物理表现联系起来。本文提供了一个故障框架库,该故障框架位于变压器的各个组件(铁芯,绕组,套管,油箱,散热片)中,以及它们与变压器介电材料(油和纤维素)的链接。本文将已发表的研究成果整合到一系列结构化框架中。每个框架都提供了一个平台,可在该平台上开发改进的工厂可靠性模型,并确定变压器故障机制与故障模式之间的直接联系。通过识别这些链接,可靠性工程师可以更好地了解变压器如何发生故障以及故障时出现的被测因素,从而允许实施预测/预防性维护制度,以有效地识别潜在的故障模式。

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