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

퍼지 추론을 이용한 HDD (Hard Disk Drive) 결함 분포의 패턴 분류

  • 문현철 (중앙대 공대 전자전기공학부) ;
  • 권현태 (중앙대 공대 전자전기공학부)
  • Published : 2005.06.01


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.


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