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Fault diagnosis of a turbofan engine using neural networks: a quantitative approach

Author(s):
  • Zedda, M. ( Thermal Power Department, School of Mechanical Engineering, Cranfield University, U.K. )
  • Singh, R. ( Thermal Power Department, School of Mechanical Engineering, Cranfield University, U.K. )
Publication title:
AIAA paper
Title of ser.:
AIAA Paper : AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit
Ser. no.:
1998
Pub. Year:
1998
No.:
98-3602
Paper no.:
98-3602
Page(from):
1
Page(to):
10
Pages:
10
Pub. info.:
American Institute of Aeronautics and Astronautics
ISSN:
01463705
Language:
English
Call no.:
A07400
Type:
Technical Paper

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