Geometrical Defect Detection in the Wire Electrical Discharge Machining of Fir-Tree Slots Using Deep Learning Techniques

Geometrical Defect Detection in the Wire Electrical Discharge Machining of Fir-Tree Slots Using Deep Learning Techniques

Traceability is a critical issue in the manufacturing of aerospace components. However, extracting understandable information from huge amounts of data from manufacturing processes may become a very difficult task. In this paper, a novel proposal for geometrical defect detection in the manufacturing...

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Bibliographic Details
Main Authors: Jun Wang, Jose A. Sanchez, Jon A. Iturrioz, Izaro Ayesta
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Applied Sciences
Subjects:
defect detection
traceability
aerospace
wire electrical discharge machining
artificial intelligence
deep learning
Online Access:http://www.mdpi.com/2076-3417/9/1/90

Internet

http://www.mdpi.com/2076-3417/9/1/90

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