AI-driven Maintenance Tool for Synchronous Power Generator Temperature Monitoring Using Fiber Bragg Gratings

被引：0
|
作者：
Dreyer, Uilian Jose [1 ]
da Silva, Erlon, V [3 ]
Oliveira, Wilian [3 ]
Mazzo, Paulo H. R. [1 ]
Sousa, Kleiton de M. [1 ]
Di Renzot, Andre Biffe [2 ]
Martellit, Cicero [2 ]
Cardozo da Silva, Jean Carlos [2 ]
机构：
[1] Univ Tecnol Fed Parand UTFPR, Grad Program Energy Syst PPGSE, Curitiba, Parana, Brazil
[2] Univ Tecnol Fed Parand UTFPR, Grad Program Elect & Comp Engn CPGEI, Curitiba, Parana, Brazil
[3] Univ Tecnol Fed Parand UTFPR, ENGIE Brasil Energia, Curitiba, Parana, Brazil
来源：
2023 SBMO/IEEE MTT-S INTERNATIONAL MICROWAVE AND OPTOELECTRONICS CONFERENCE, IMOC | 2023年
关键词：
Fiber Bragg Grating; electric generator; temperature sensing; artificial intelligence;
D O I：
10.1109/IMOC57131.2023.10379665
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：
The carbon brushes and slip rings of a hydrogenerator are the main components guiding the excitation current from the bridge to the rotor windings. The brushes' temperature are crucial to infer their operational condition and, the generator status. This work presents the temperature measurement of six Fiber Bragg Gratings (FBG) sensors installed in a 370 MVA electric generator brushes. The results show the sensors' capacity to monitor the brushes' temperature in accordance with the current flowing through them. Together with the sensors, an Artificial Intelligence (AI) technique was applied to the measured temperature to detect anomalous events regarding the current supplied to the rotor windings. The optical sensors combined with the AI could detect five events of abnormal current behaviour. One is presented in detail in this paper. This sensing system can be further applied to online fault detection using the temperature measured by the FBGs as a brush condition indicator and a generator operation and maintenance tool.
引用
收藏
页码：67 / 69
页数：3
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