Oral Presentation Sessions

September 8(Wed)

WD3

Deep Learning Methods for PHM IV

Oral,

Ballroom 3,

16:30~18:10 KST

Chair: Dr. Jihyun Kim, Inha University, Republic of Korea

WD3-1

16:30~16:50

P00028 Normal Data based Ball Bearing Anomaly Detection and Diagnosis Using Convolutional Neural Network with Self-Labeling

JaeWoong Bae, Wonho Jung, and Yong-Hwa Park* (KAIST)

WD3-2

16:50~17:10

P00031 Distance-based Health Index of Rotating Machines Using Convolutional Autoencoder

Kukhee Lee and Hyunseok Oh* (Gwangju Institute of Science and Technology), Wonho Jung (Korea Advanced Institute of Science and Technology)

WD3-3

17:10~17:30

P00040 Fast classification of concrete crack and non-crack using computationally efficient 2D images to 1D DFT-CNN

Ganesh Kolappan Geetha* and Sung-Han Sim (Sungkyunkwan University)

WD3-4

17:30~17:50

P00054 A Novel Physics-Infused Recurrent Neural Network for Health Monitoring of Lithium-Ion Batteries

Sung Wook Kim (Postech), Ki-Yong Oh (Chung-Ang University), Seungchul Lee* (Postech)

WD3-5

17:50~18:10

P00069 Estimating Remaining Useful Lifetime of A Gas Turbine through Deep Neural Network

Seho Son (Hanyang University), Ki-Yong Oh* (Chung-Ang University)