PSO-Optimized Deep Learning for Ultra-Precise Corrosion Detection on HDD Read/Write Heads
| dc.contributor.author | Punyammaree, Chaiwat | |
| dc.contributor.author | Kaitwanidvilai, Somyot | |
| dc.date.accessioned | 2026-08-06T10:49:47Z | |
| dc.date.available | 2026-08-06T10:49:47Z | |
| dc.date.issued | 2025-01-01 | |
| dc.description.abstract | This paper presents a novel deep learning approach for automated detection and counting of corrosion pits on Hard Disk Drive (HDD) read/write heads using Scanning Electron Microscopy (SEM) images. A U-Net model optimized via Particle Swarm Optimization (PSO) is developed to enhance segmentation performance by automatically tuning hyperparameters. The methodology includes optimized SEM image acquisition, preprocessing (patch-based subdivision and expert annotation), PSO-driven hyperparameter selection, and post-processing with thresholding and connected component analysis for pit counting. Experimental results demonstrate that the PSO-optimized U-Net significantly outperforms standard U-Net, SegNet, and LinkNet models, achieving an F1-score of 79.60%, an IoU of 86.51%, and an accuracy of 99.77%. Additionally, the proposed method achieves 86.9% counting accuracy, surpassing human experts (72.7%) while processing images 15 times faster (180 seconds vs. 2700 seconds per image). These findings highlight the potential of PSO-optimized deep learning for improving HDD quality control by providing an accurate, efficient, and standardized solution for corrosion pit detection, ultimately reducing the risk of HDD failure and data loss. | |
| dc.identifier.citation | IEEE Access, 13, 110623-110635, 2025 | |
| dc.identifier.doi | 10.1109/ACCESS.2025.3582602 | |
| dc.identifier.issn | 21693536 | |
| dc.identifier.other | 2-s2.0-105009166450 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/16609 | |
| dc.source | IEEE Access | |
| dc.subject | corrosion pits | |
| dc.subject | Hard disk drive | |
| dc.subject | image segmentation | |
| dc.subject | particle swarm optimization | |
| dc.subject | U-Net | |
| dc.title | PSO-Optimized Deep Learning for Ultra-Precise Corrosion Detection on HDD Read/Write Heads | |
| dc.type | Article |