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https://hdl.handle.net/10356/6823
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lye, Sun Woh | en_US |
dc.contributor.author | Ho, Nai Choon | en_US |
dc.contributor.author | Chin, Teck Chai | en_US |
dc.contributor.author | Loh, Ngiap Hiang | en_US |
dc.contributor.author | Tam, Siu Chung | en_US |
dc.date.accessioned | 2008-09-17T14:35:15Z | |
dc.date.available | 2008-09-17T14:35:15Z | |
dc.date.copyright | 1990 | en_US |
dc.date.issued | 1990 | |
dc.identifier.uri | http://hdl.handle.net/10356/6823 | |
dc.description.abstract | In this project , a generic intelligent feedback system (GIFS), an alternative adaptive control approach, has been developed to monitor and minimise the undersirable variations in the machining process variables. Ball burnishing, a post-machining finishing process, is used as the basis for investigation. | en_US |
dc.rights | Nanyang Technological University | en_US |
dc.subject | DRNTU::Engineering::Industrial engineering::Information systems | |
dc.title | Artificial intelligence adaptive control to improve on real-time dynamic process performance : ball burnishing machining operation as its basis | en_US |
dc.type | Research Report | en_US |
dc.contributor.school | School of Mechanical and Production Engineering | en_US |
dc.description.reportnumber | ARP-M-88-20 | |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | MAE Research Reports (Staff & Graduate Students) |
Files in This Item:
File | Description | Size | Format | |
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MPE-RESEARCH-REPORT_119.pdf Restricted Access | 3.04 MB | Adobe PDF | View/Open |
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