Performance-based fault diagnosis of a gas turbine engine using an integrated support vector machine and artificial neural network method
An effective and reliable gas path diagnostic method that could be used to detect, isolate, and identify gas turbine degradations is crucial in a gas turbine condition-based maintenance. In this paper, we proposed a new combined technique of artificial neural network and support vector machine for a...
| Main Authors: | Fentaye, A.D., Ul-Haq Gilani, S.I., Baheta, A.T., Li, Y.-G. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.24981 / |
| Published: |
SAGE Publications Ltd
2019
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060049597&doi=10.1177%2f0957650918812510&partnerID=40&md5=dc164cdd371a480ca9450f6bd8ae7ccc http://eprints.utp.edu.my/24981/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|