|Author's Email Address
||This thesis had been viewed 5365 times. Download 3164 times.|
||Mechanical and Electro-Mechanical Engineering|
|Type of Document
||A system of the process planning system on the Maintenance of Turbine Blades|
|Date of Defense
||Repair Process Plan
Computer Aided Process Plan
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.
||Yih-Tun Tseng - chair|
Ye-In Chang - co-chair
Ping-Yi Chao - advisor
indicate access worldwide|
|Date of Submission