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Research unit
INNOSUISSE
Project number
27662.1 PFES-ES
Project title
Automatic Feature learning and Pattern recognition of Partial discharge applying deep-learning technologies

Texts for this project

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Short description
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Abstract
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Short description
(German)
Automatic Feature learning and Pattern recognition of Partial discharge applying deep-learning technologies
Short description
(English)
Automatic Feature learning and Pattern recognition of Partial discharge applying deep-learning technologies
Abstract
(German)
Partial discharge (PD) is the most reliable monitoring for generator stator insulation health status, and has been applied in industry since the 1990's. This project aims to merge experience and knowledge from GE with state of the art methods in machine learning to improve the data analysis of PD.
Abstract
(English)