A procedure for automated gas turbine blade fault identification based on spectral pattern analysis
- Author(s):
- Loukis, E. ( National Technical University of Athens )
- Mathioudakis, K.
- Papailiou, K.
- Publication title:
- A.S.M.E. paper
- Title of ser.:
- ASME Technical Paper : GT
- Ser. no.:
- 1991
- Pub. Year:
- 1991
- No.:
- 91-GT-259
- Paper no.:
- 91-GT-259
- Pub. info.:
- New York, NY: The American Society of Mechanical Engineers
- Language:
- English
- Call no.:
- A11800
- Type:
- Technical Paper
Similar Items:
The American Society of Mechanical Engineers |
American Society of Mechanical Engineers |
2
Technical Paper
Combination of different unsteady quantity measurements for gas turbine blade fault diagnosis
The American Society of Mechanical Engineers |
8
Technical Paper
Enhanced Fault Localization Using Probabilistic Fusion with Gas Path Analysis Algorithms.
American Society of Mechanical Engineers |
The American Society of Mechanical Engineers |
9
Technical Paper
Blade fault recognition based on signal processing and adaptive fluid dynamic modelling
The American Society of Mechanical Engineers |
4
Technical Paper
Optimal measurements and health indices selection for gas turbine performance status and fault diagnosis
The American Society of Mechanical Engineers |
10
Technical Paper
Gas Turbine Fault Diagnosis from Fast Response Data Using Probabilistic Methods and Information Fusion.
American Society of Mechanical Engineers |
The American Society of Mechanical Engineers |
American Society of Mechanical Engineers |
6
Technical Paper
Numerical simulation of blade fault signatures from unsteady wall pressure signals
The American Society of Mechanical Engineers |
12
Technical Paper
Performance Analysis of Twin- Spool Water Injected Gas Turbine Using Adaptive Modeling.
American Society of Mechanical Engineers |