Oral Presentation Sessions

September 8(Wed)

WC3

Deep Learning Methods for PHM III

Oral,

Ballroom 3,

14:30~16:10 KST

Chair: Prof. Jaesik Choi, KAIST, Republic of Korea

Main Session Room

WC3-1

12:30~12:50

P00009 Peripheral Arterial Disease Location Detection for Different Patient Severity Levels Using Domain-Adaptation-Based 1D CNN

In Chan Lee* (Seoul National University), Sooho Kim (Seoul National University / OnePredict Inc), Joo Hyeon Im (Seoul National University), Jin-Oh Hahn (University of Maryland), Byeng Dong Youn (Seoul National University / OnePredict Inc)

Abstract Q&A

WC3-2

12:50~13:10

P00011 Physics Informed Feature Engineering Approach to Boiler Tube Diagnosis

Hyeonchan Lee, Kyumin Na, Kim Hyeongmin, and Byeng Dong Youn* (Seoul National Univ.)

Abstract Q&A

WC3-3

13:10~13:30

P00015 Augmentation of Vibration Signals of Rotating Machinery with Variable Sequence Length

Jin Uk Ko, Myungyon Kim, and Jinwook Lee (Seoul National University), Byeng Dong Youn* (Seoul National Univ.)

Abstract VOD Q&A

WC3-4

13:30~13:50

P00025 Multidisciplinary Inverse Design using Deep Learning: a Case Study of Brake Systems

Seongsin Kim (Sookmyung Women's University), Minyoung Jwa (Sookmyung Women’s University), Soonwook Lee (Hyundai Mobis Company), Sunghoon Park (VEng Company), Namwoo Kang* (Korea Advanced Institute of Science and Technology)

Abstract Q&A

WC3-5

13:50~14:10

P00027 Deep Learning Algorithms for Forest Fire Smoke Detection

Minseok Choi and Hyunseok Oh* (Gwangju Institute of Science and Technology)

Abstract Q&A

Member	Registrant of PHMAP2021 Invited
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