Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/6221
Title: | Development of a knowledge-based piping diagnostic system using a knowledge organization approach | Authors: | Ni, ChunQing. | Keywords: | DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics | Issue Date: | 2003 | Abstract: | Knowledge sorting is one way to organize the knowledge acquired from the domain expert(s) and various sources. Well-organized knowledge representation will make rule extraction much easier. In this work, a knowledge sorting process was adapted to facilitiate the rule extraction for a knowledge-based diagnosing piping system. | URI: | http://hdl.handle.net/10356/6221 | Schools: | School of Mechanical and Production Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | MAE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
MAE-THESES_693.pdf Restricted Access | 5.85 MB | Adobe PDF | View/Open |
Page view(s)
467
Updated on Mar 28, 2025
Download(s)
5
Updated on Mar 28, 2025
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.