An Unsupervised Approach to Partial Discharge Monitoring in Rotating Machines: Detection to Diagnosis With Reduced Need of Expert Support

Seri Paolo; Ghosh Riddhi; Montanari Gian Carlo

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An Unsupervised Approach to Partial Discharge Monitoring in Rotating Machines: Detection to Diagnosis With Reduced Need of Expert Support

机译：旋转机器中局部放电监控的无监督方法：检测诊断，减少专家支持需求

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Condition monitoring and maintenance in rotating machine are generally managed through expert evaluation of the diagnostic properties and relevant harmfulness of the underlying aging mechanisms. In order to prompt broad diffusion of condition monitoring systems, especially in large assets and in the rising field of electrification transport, however, ways to get rid of the time-consuming and expensive support of experts must be prompted. A straightforward solution is transiting towards automatic and unsupervised diagnostics and condition assessment methodologies. This paper proposes and applies algorithms for the automatic detection of partial discharges, which is the property most often associated to the fastest accelerated aging mechanisms in electrical insulation, including noise rejection, identification of the type of partial discharge sources and estimation of an health condition index in rotating machines fed by AC sinusoidal voltage. The goal is to obtain a self-assessment of the health condition by each rotating machine of an asset, which can thus interact with the asset or maintenance manager when needed, that is, when reliability is at risk.

机译：旋转机器中的情况监测和维护通常通过对诊断特性的专家评估和相关老化机制的相关危害进行管理。为了促使条件监测系统的广泛扩散，特别是在大型资产和电气化传输领域的上升领域，必须提示摆脱耗时和昂贵的专家支撑。直接的解决方案正在朝向自动和无监督的诊断和病情评估方法转移。本文提出并应用用于自动检测部分放电的算法，其是最常与电绝缘中最快加速老化机制相关的性质，包括噪声抑制，识别局部放电源的类型和健康状况指数的估计在AC正弦电压馈送的旋转机器中。目标是通过资产的每个旋转机器获得健康状况的自我评估，从而可以在需要时与资产或维护管理器进行互动，即当可靠性有风险时。

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《IEEE Transactions on Energy Conversion》 |2021年第3期|2485-2492|共8页
作者
Seri Paolo; Ghosh Riddhi; Montanari Gian Carlo;
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作者单位

Univ Bologna Dept Elect Elect & Informat Engn I-40136 Bologna Italy;

Univ Bologna Dept Elect Elect & Informat Engn I-40136 Bologna Italy|Florida State Univ Ctr Adv Power Syst Tallahassee FL 32306 USA;

Florida State Univ Ctr Adv Power Syst Tallahassee FL 32306 USA|Univ Bologna I-40136 Bologna Italy;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Partial discharges; Rotating machines; Insulation; Discharges (electric); Reliability; Monitoring; Fault location; Partial discharges; rotating machines; insulation life; reliability; asset management; fuzzy systems; clustering methods;

机译：部分放电;旋转机器;绝缘;放电（电动）;可靠性;监测;故障定位;部分放电;旋转机器;绝缘寿命;可靠性;资产管理;模糊系统;聚类方法;集群管理;集群方法;

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专利

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机译：局部放电。十二。旋转电机的局部放电检测
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机译：大数据方法用于批处理过程监控：使用基于非线性支持向量机的特征选择来同时进行故障检测和诊断
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机译：转载：大数据方法用于批处理过程监视：使用基于非线性支持向量机的特征选择来同时进行故障检测和诊断
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机译：大数据方法用于批处理过程监控：使用基于非线性支持向量机的特征选择同时进行故障检测和诊断
8. Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection [O] . Melis Onel, Chris A. Kieslich, Yannis A. Guzman, 2018

机译：批处理监控的大数据方法：使用非线性支持向量机的特征选择同时出现故障检测和诊断
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机译：制造误差解决方案专家系统：用于桥梁制造误差解决方案专家系统开发的方法。桥梁制造误差解决方案专家系统。机器学习方法

An Unsupervised Approach to Partial Discharge Monitoring in Rotating Machines: Detection to Diagnosis With Reduced Need of Expert Support

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