| Author | Teerawisit Seehapanya |
| Note | A thesis submitted in partial fulfillment of the requirements for the
Degree of Master of Science in
Microelectronics and Embedded Systems, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | Nowadays, the hard disk drive (HDD) is the popular storage devices in electronics market which is not only a need to general computer or laptop, but also database servers, electronics machines, tablets and mobility external storages. Currently, the electronics devices are more specification required depends on the current technology, and there is high level of competition between storage device producers in order to consumer satisfied. The main factors of the product reliability and alluring are the price of products, the services and product quality
Failure management is one of the important processes of product quality improvement which is the main factor of business growth. However, product quality improvement effectiveness is dependent on a problem analysis accuracy and analysis duration which are the main approaches to quality improvement effectiveness. Thus, it is necessary to increase the accuracy of problem analysis and to reduce the duration of analysis process
The images processing will be applied to analyzed the failures such as the scratch pattern on magnetic media which is the majority failure ratio of all defective drives that be found. Eigenface technique or face recognition will be integrated with image processing to classify the symptom and pattern of the scratch. |
| Year | 2014 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Microelectronics (ME) |
| Chairperson(s) | Mongkol Ekpanyapong; |
| Examination Committee(s) | Dailey, Matthew N.;Wai, Mak Chee; |
| Scholarship Donor(s) | Western Digital
NECTEC, Thailand - AIT Fellowship; |