Program / GS-11: Industrial Anomaly Detection & Predictive Maintenance

GS-11: Industrial Anomaly Detection & Predictive Maintenance

November 03 (Tuesday) · 14:00–16:00 · Room B

Chair: Akihiro Yorita (Daiichi Institute of Technology)

14:00–14:20Paper ID: 38Full paper

Intelligent Quality Control: Data-Driven Predictive Warnings for Repeatable Runout in Hard Disk Drive Assembly

Issarapong Khuankrue (King Mongkut's Institute of Technology Ladkrabang)*; Watcharaporn Aiamlamai (King Mongkut's Institute of Technology Ladkrabang)

14:20–14:40Paper ID: 82Full paper

A Comparative Study of Feature Extractors in Unsupervised Image Anomaly Detection for Structural and Logical Anomalies

Tatsuya Mori (FUJIFILM Business Innovation Corp.)*; Nanaka Ikeda (FUJIFILM Business Innovation Corp.); Shota Narumi (FUJIFILM Business Innovation Corp.); Makoto Sasaki (FUJIFILM Business Innovation Corp.)

14:40–15:00Paper ID: 93Full paper

PWT Damaged Road Dataset: U-Net Segmentation for Road Damage with Comparative Evaluation Against Mask R-CNN and DeepLabV3

Naufal El Kamil Aditya Pratama Rahman (Telkom University); Wahyu Andi Saputra (Telkom University); Andi Yunus (Telkom University)*

15:00–15:20Paper ID: 126Full paper

A Bayesian Network-Based Decision Support Framework for Crusher Failure Diagnosis

Annisa Azizah (Universitas Gadjah Mada); Bernardus Laksono (Universitas Gadjah Mada); Melpa Simamora (Universitas Gadjah Mada); Muhammad Ramadhany (Universitas Gadjah Mada); Wangi Sari (Universitas Gadjah Mada)*

15:20–15:40Paper ID: 186Full paper

Deep-Learning-Based Anomaly Scoring for Eddy-Current Inspection of Heat-Exchanger Tubes under Partial-Label Supervision

Tomoharu Nakashima (Osaka Metropolitan University)*; Yuki Takeuchi (Osaka Metropolitan University); Ryohei Fujita (Non-Destructive Inspection Co., Ltd.); Misaki Sanokawa (Non-Destructive Inspection Co., Ltd.)

Presentations finish at 15:40. The scheduled session ends at 16:00.

Full paper: 15 minutes presentation + 5 minutes Q&A. Short, abstract-only and late breaking papers: 10 minutes presentation + 5 minutes Q&A. Speakers should bring their own laptop; presentation PCs are not provided.