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Detection of micro contamination in hard disk drives using maximum likelihood estimation and angle detection

Ieamsaard, Jirarat; Muneesawang, Paisarn; Sandnes, Frode Eika
Chapter, Peer reviewed, Chapter
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URI
https://hdl.handle.net/10642/4281
Date
2016
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  • TKD - Institutt for informasjonsteknologi [860]
Original version
Reungsang, Pipat [Eds.] 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) , IEEE, 2016   http://dx.doi.org/10.1109/JCSSE.2016.7748845
Abstract
Micro contamination is one of the critical defects that occur on the head gimbal assembly (HGA). The HGA is a key component of the read/write assembly of a hard disk drive. This paper presents an image-based automatic inspection method for micro-contamination detection. Maximum likelihood estimation combined with angle measurements are proposed for identifying defects. The performance of the proposed maximum likelihood

estimation and angle measurement method is compared to previous angle measurement and intensity thresholding methods. The experimental results show that the fusion of maximum likelihood estimation and angle measurements outperforms the angle measurement and intensity thresholding method with an accuracy of 87.9 % compared the accuracy of 80.1% reported in previous work.
Publisher
IEEE

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