Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/6823
Title: Artificial intelligence adaptive control to improve on real-time dynamic process performance : ball burnishing machining operation as its basis
Authors: Lye, Sun Woh
Ho, Nai Choon
Chin, Teck Chai
Loh, Ngiap Hiang
Tam, Siu Chung
Keywords: DRNTU::Engineering::Industrial engineering::Information systems
Issue Date: 1990
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.
URI: http://hdl.handle.net/10356/6823
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Research Reports (Staff & Graduate Students)

Files in This Item:
File Description SizeFormat 
MPE-RESEARCH-REPORT_119.pdf
  Restricted Access
3.04 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.