Abstract
Maintenance makes machine life long more and gets no loss about a chain reaction on part broken. Repair a part that has high complex and is important. It need engineer experience to decide its maintenance process plan. For turbine blade maintenance style that has various type and a small quantity. Different broken feature have different maintenance process in the maintenance process planning stage.
This thesis creates a system for this property maintenance on the process planning system on the Maintenance of turbine blades. Analyzing blade broken feature and classifying the feature to bring up a case-based reasoning and fuzzy set operation that usually see in expert systems. It uses case-based databases to save engineer experiences and analysis to decide critical maintenance process factors. The critical factors can help find out similarity case and modulate a newer case. It needs to create a proto-type system for these purposes. The first, classifying turbine blades broken feature and coding the repair process for different maintenances. The second, using fuzzy set language to determine case¡¦s similarity and finding out algorithm. Integrating product data management system and the system. The research uses a company as case study to test and verify the proto-type system.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0807102-154137 |
| Date | 07 August 2002 |
| Creators | Huang, Jia-Zi |
| Contributors | Ye-In Chang, Ping-Yi Chao, Yih-Tun Tseng |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807102-154137 |
| Rights | unrestricted, Copyright information available at source archive |
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