Title :
An application of a neuro-fuzzy inference system for pattern classification of HDD defect distribution
Author :
Moon, Un-Chul ; Jang, Hoyoun ; Santos, Marcus Vinicius dos
Author_Institution :
Sch. of Electr. & Electron. Eng., Chung-Ang Univ., Seoul, South Korea
Abstract :
In the production of Hard Disk Drive (HDD), the pattern of HDD defect distribution gives the information about the defective component of HDD. This paper presents a pattern classification method for the HDD defect distribution. Five features of the pattern are developed and an Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to classify the input pattern. The ANFIS is trained with the sense of supervised learning. The trained ANFIS shows satisfactory results for classification of HDD defect distribution.
Keywords :
disc drives; fuzzy neural nets; fuzzy reasoning; hard discs; pattern classification; production engineering computing; ANFIS; HDD defect distribution; adaptive neuro-fuzzy inference system; defective component; hard disk drive; pattern classification; Adaptive systems; Fuzzy logic; Hard disks; Neural networks; Pattern classification; Pattern recognition; Performance evaluation; Testing; Training data; Watches; Adpative Neuro-Fuzzy Inference System(ANFIS); Hard Disk Drive(HDD); Pattern Classification; component;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-7859-0
Electronic_ISBN :
978-1-4244-7857-6
DOI :
10.1109/NAFIPS.2010.5548200
