Session Details
[5K2-OS-38a]OS-38
Fri. Jun 12, 2026 12:00 PM - 1:30 PM JST
Fri. Jun 12, 2026 3:00 AM - 4:30 AM UTC
Fri. Jun 12, 2026 3:00 AM - 4:30 AM UTC
Room K(Middle room 201A)
オーガナイザ:矢入 健久(東京大学),堤 誠司(JAXA),今村 誠(東海大学),植野 研(東芝)
[5K2-OS-38a-01]Fault Detection and Cause Estimation System Using Digital Twins
〇Shinji Orihara1, Kota Hiroshima1, Yohei Nawaki1, Kentaro Nomoto1, Kazuyuki Tsuruoka1 (1. USHIO INC)
[5K2-OS-38a-02]Root Cause Estimation of Faults based on High-Dimensional Inspection Data in Optical System Assembly Processes
〇Heya Ouyang1, Tatsuya Kubota1, Mineyuki Nishino1, Chiaki Koike1, Yosuke Otsubo1, Naoya Otani1, Masashi Sugiyama2 (1. NIKON CORPORATION, 2. RIKEN Center for Advanced Intelligence Project)
[5K2-OS-38a-03]Development of a Spatial Causal Discovery Method for Spatial Autoregressive Models for Defect Analysis in Plastic Injection Molding
〇Ryosuke Tanaka1,2, Koichi Fujiwara1,3,4 (1. Nagoya University, 2. MCC Advanced Moldings Co.,Ltd., 3. Hokkaido University, 4. Nara Institute of Science and Technology)
[5K2-OS-38a-04]Detection on Two Anomalies Sounds : Classical Machine Learning vs. Quantum Machine Learning
〇Takao Tomono1, Kazuya Tsujimura2 (1. Keio University, 2. Toppan Holdings)
[5K2-OS-38a-05]A Framework for State Estimation and Anomaly Detection Based on Temporal Variations in Periodic Structure
〇Takeru Shiraga1, Nobuaki Tanaka1, Toshiyuki Kuriyama1 (1. MITSUBISHI ELECTRIC CORPORATION)
[5K2-OS-38a-06]Development of a Degradation Detection Method for Belt–Pulley Mechanisms Using Feature Engineering Based on Physical Phenomena
〇Ryotaro Shinozuka1, Koji Wakimoto1, Toshiyuki Kuriyama1, Kai Yamagata1 (1. Mitsubishi Electric Corporation)
