An artificial intelligence (AI) approach to disk drive failure analysis
In high volume hard disk manufacturing, the ability to stay profitable depends very much on the factory to turnaround every product to finished goods as quickly as possible. Ways and means to do so is one of the main focus in this manufacturing sector. Besides trying to reduce cycle time at each bui...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/20545 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| id |
sg-ntu-dr.10356-20545 |
|---|---|
| record_format |
dspace |
| spelling |
sg-ntu-dr.10356-205452020-09-26T22:13:08Z An artificial intelligence (AI) approach to disk drive failure analysis Tan, Choon Eng. Bansal, Sam Gintic Institute of Manufacturing Technology DRNTU::Engineering::Manufacturing::Quality control In high volume hard disk manufacturing, the ability to stay profitable depends very much on the factory to turnaround every product to finished goods as quickly as possible. Ways and means to do so is one of the main focus in this manufacturing sector. Besides trying to reduce cycle time at each build and test station, one other area of focus is to speed up the rework process of failed drives, which is dependent on how accurate and fast the failed drives can be diagnosed. Master of Science (Computer Integrated Manufacturing) 2009-12-15T03:17:50Z 2009-12-15T03:17:50Z 1996 1996 Thesis http://hdl.handle.net/10356/20545 en NANYANG TECHNOLOGICAL UNIVERSITY 140 p. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| country |
Singapore |
| collection |
DR-NTU |
| language |
English |
| topic |
DRNTU::Engineering::Manufacturing::Quality control |
| spellingShingle |
DRNTU::Engineering::Manufacturing::Quality control Tan, Choon Eng. An artificial intelligence (AI) approach to disk drive failure analysis |
| description |
In high volume hard disk manufacturing, the ability to stay profitable depends very much on the factory to turnaround every product to finished goods as quickly as possible. Ways and means to do so is one of the main focus in this manufacturing sector. Besides trying to reduce cycle time at each build and test station, one other area of focus is to speed up the rework process of failed drives, which is dependent on how accurate and fast the failed drives can be diagnosed. |
| author2 |
Bansal, Sam |
| author_facet |
Bansal, Sam Tan, Choon Eng. |
| format |
Theses and Dissertations |
| author |
Tan, Choon Eng. |
| author_sort |
Tan, Choon Eng. |
| title |
An artificial intelligence (AI) approach to disk drive failure analysis |
| title_short |
An artificial intelligence (AI) approach to disk drive failure analysis |
| title_full |
An artificial intelligence (AI) approach to disk drive failure analysis |
| title_fullStr |
An artificial intelligence (AI) approach to disk drive failure analysis |
| title_full_unstemmed |
An artificial intelligence (AI) approach to disk drive failure analysis |
| title_sort |
artificial intelligence (ai) approach to disk drive failure analysis |
| publishDate |
2009 |
| url |
http://hdl.handle.net/10356/20545 |
| _version_ |
1681057947523743744 |