JSAI2020

Presentation information

General Session

General Session » J-13 AI application

[4L2-GS-13] AI application: Anomaly detection and maintenance

Fri. Jun 12, 2020 12:00 PM - 1:40 PM Room L (jsai2020online-12)

座長:内部英治(ATR)

1:00 PM - 1:20 PM

[4L2-GS-13-04] Deep Learning Image Recognition for Jet Engine Maintenance

〇Hitoshi Hattori1, Kazuo Yonekura1, Masaya Kuribara1, Masanori Hasegawa1, Nozomu Hashizume1, Koji Tokunaga1 (1. IHI corporation)

Keywords:Jet Engine , Maintenance, Image Recognition

We have been propelling AI researches to create new value for jet engine maintenance service. Our first attempt is applying AI to engine parts damage recognition to reduce workload. Since engine parts damage information is necessary for customer reports, a large number of images have to be sorted in a correct order. However, it is sorted manually and it takes half a day for one report. In this paper, we present image classification system for the engine parts.

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