Analysis of fault detection in the electrical insulation system of rotating machines

被引：0

作者：

Cimino, Alessandro ^{[1
]}

Jenau, Frank ^{[1
]}

Staubach, Christian ^{[2
]}

Mashkin, Andrey ^{[3
]}

Pohlmann, Friedhelm ^{[3
]}

机构：

[1] TU Dortmund Univ, Inst High Voltage Engn, Dortmund, Germany

[2] HS Hannover, High Voltage & Insulat Technol, Hannover, Germany

[3] Siemens AG, Generator Engn, Mulheim An Der Ruhr, Germany

来源：

2018 INTERNATIONAL CONFERENCE ON DIAGNOSTICS IN ELECTRICAL ENGINEERING (DIAGNOSTIKA) | 2018年

关键词：

rotating machines; multi-factor ageing; diagnostic methods; terahertz-scan;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new approach for fault detection and analysis in the electrical insulation system of generator winding bars is used for visual investigation. This paper presents two series of measurements, each with two bars, under simultaneous electrical, thermal and mechanical stress. A mechanically dominated aging mechanism is investigated in combination with a variation in temperature, which has a high influence on the lifetime. As a result of the complex structure of the insulation system, structural changes are difficult to detect with terahertz technology.

引用

页数：4

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