Unsupervised Machine Learning for Advanced Tolerance Monitoring of Wire Electrical Discharge Machining of Disc Turbine Fir-Tree Slots

Unsupervised Machine Learning for Advanced Tolerance Monitoring of Wire Electrical Discharge Machining of Disc Turbine Fir-Tree Slots

Manufacturing more efficient low pressure turbines has become a topic of primary importance for aerospace companies. Specifically, wire electrical discharge machining of disc turbine fir-tree slots has attracted increasing interest in recent years. However, important issues must be still addressed f...

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Bibliographic Details
Main Authors: Jun Wang, Jose A. Sanchez, Izaro Ayesta, Jon A. Iturrioz
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
machine learning
tolerance monitoring
wire electrical discharge machining
aerospace
turbine manufacturing
fir‐tree slots
Online Access:http://www.mdpi.com/1424-8220/18/10/3359

Internet

http://www.mdpi.com/1424-8220/18/10/3359

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