Gas Turbine Engine Fault Diagnostics Using Fuzzy Concepts
- Author(s):
- Alexander, P. ( Cranfield University, Bedford, Great Britain )
- Singh, R.
- Publication title:
- AIAA meeting papers on disc
- Title of ser.:
- AIAA Paper : Intelligent Systems Technical Conference
- Ser. no.:
- 1st
- Pub. Year:
- 2004
- No.:
- 2004-6223
- Paper no.:
- AIAA Paper 2004-6223
- Pub. info.:
- [Reston, Va.]: American Institute of Aeronautics and Astronautics
- ISSN:
- 10877215
- Language:
- English
- Call no.:
- A07400/200418 [CD-ROM 2004 Disc 18]
- Type:
- Technical Paper
Similar Items:
|
American Institute of Aeronautics and Astronautics |
7
Technical Paper
Gas Turbine Fault Diagnostics Using a Fusion of Least Squares Estimations and Fuzzy Logic Rules.
American Society of Mechanical Engineers |
|
American Institute of Aeronautics and Astronautics |
American Institute of Aeronautics and Astronautics |
|
American Institute of Aeronautics and Astronautics |
9
Technical Paper
Gas Turbine engine and Sensor multiple operating point analysis using optimization techniques
American Institute of Aeronautics and Astronautics |
|
American Society of Mechanical Engineers |
10
Technical Paper
An ntegrated Fault Diagnostics Model Using Genetic Algorithm and Neural Networks.
American Society of Mechanical Engineers |
|
5
Technical Paper
Infrared thermal imaging system as a diagnostic tool for gas turbine engine faults
The American Society of Mechanical Engineers |
11
Technical Paper
Fault detection for gas turbine sensors using I/O dynamic linear models - methodology of fault code generation
The American Society of Mechanical Engineers |
|
6
Technical Paper
Artificial Intelligence for the Diagnostics of Gas Turbine. Part I: Neuro- Fuzzy Approach.
American Society of Mechanical Engineers |
12
Technical Paper
Gas Path Fault Diagnosis of a Turbofan Engine from Transient Data Using Artificial Neural Networks.
American Society of Mechanical Engineers |