Layer Separation and Corrosion Detection Algorithms for Reliability Analyzes of HDD Head Stack
Pages 212 - 218
Abstract
In this work, an algorithm to separate layer and detect corrosion using a combination of image analysis and machine learning techniques are proposed for reliability testing of hard disk head stack. This algorithm takes a raw image captured from stress tested sample as an input image, separates the head stack layers and detects corrosion in each layer automatically. The proposed algorithm offers takes 0.5 seconds to process each sample which is 73.73% improvement over existing algorithm used by the factory while offer similar detection accuracy. The elapsed time improvement come from the fact that the proposed algorithm does not require a worker to manually create a template for each testing lot of each head stack model.
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Published In
February 2022
224 pages
ISBN:9781450385770
DOI:10.1145/3524304
Copyright © 2022 ACM.
© 2022 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
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Association for Computing Machinery
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Published: 06 June 2022
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ICSCA 2022
ICSCA 2022: 2022 11th International Conference on Software and Computer Applications
February 24 - 26, 2022
Melaka, Malaysia
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