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A Pattern Classification of HDD (Hard Disk Drive) Defect Distribution Using Fuzzy Inference  

Moon Un-Chul (중앙대 공대 전자전기공학부)
Kwon Hyun-Tae (중앙대 공대 전자전기공학부)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.54, no.6, 2005 , pp. 383-389 More about this Journal
Abstract
This paper proposes a pattern classification algorithm for the defect distribution of Hard Disk Drive (HDD). In the HDD production, the defect pattern of defective HDD set is important information to diagnosis of defective HDD set. In this paper, 5 characteristics are determined for the classification to six standard defect pattern classes. A fuzzy inference system is proposed, the inputs of which are 5 characteristic values and the outputs are the possibilities that the input pattern is classified to standard patterns. Therefore, classification result is the pattern with maximum possibility. The proposed algorithm is implemented with the PC system for defective HDD sets and shows its effectiveness.
Keywords
Pattern Classification; Hard Disk Drive (HDD); Fuzzy Inference;
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Times Cited By KSCI : 3  (Citation Analysis)
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