Sun et al., 2016 - Google Patents
Bayesian network-based multiple sources information fusion mechanism for gas path analysisSun et al., 2016
- Document ID
- 17537614153795043389
- Author
- Sun J
- Zuo H
- Liang K
- Chen Z
- Publication year
- Publication venue
- Journal of Propulsion and Power
External Links
Snippet
The lack of onboard gas path measurements combined with the measurement errors leads the gas path analysis to an underdetermined problem with uncertainty. Incorporating additional information such as the domain knowledge and heuristics, as well as information …
- 230000004927 fusion 0 title abstract description 24
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2270/00—Control
- F05D2270/70—Type of control algorithm
- F05D2270/708—Type of control algorithm with comparison tables
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhou et al. | Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks | |
Chen et al. | A sequential model-based approach for gas turbine performance diagnostics | |
Li | Gas turbine performance and health status estimation using adaptive gas path analysis | |
Rahme et al. | Adaptive sliding mode observer for sensor fault diagnosis of an industrial gas turbine | |
Li | Performance-analysis-based gas turbine diagnostics: A review | |
Xu et al. | An improved hybrid modeling method based on extreme learning machine for gas turbine engine | |
Naderi et al. | Nonlinear fault diagnosis of jet engines by using a multiple model-based approach | |
Ntantis et al. | Diagnostic Methods for an Aircraft Engine Performance. | |
Kobayashi et al. | Evaluation of an enhanced bank of Kalman filters for in-flight aircraft engine sensor fault diagnostics | |
Yu | Aircraft engine health prognostics based on logistic regression with penalization regularization and state-space-based degradation framework | |
Li et al. | Novel gas turbine fault diagnosis method based on performance deviation model | |
Lu et al. | An integrated nonlinear model-based approach to gas turbine engine sensor fault diagnostics | |
Xin et al. | Fault diagnosis based on measurement reconstruction of HPT exit pressure for turbofan engine | |
Simon et al. | Sensor selection for aircraft engine performance estimation and gas path fault diagnostics | |
Kobayashi et al. | Integration of on-line and off-line diagnostic algorithms for aircraft engine health management | |
Li | Aero gas turbine flight performance estimation using engine gas path measurements | |
Lu et al. | Hybrid state estimation for aircraft engine anomaly detection and fault accommodation | |
Li et al. | Nonlinear weighted-least-squares estimation approach for gas-turbine diagnostic applications | |
Dewallef et al. | A methodology to improve the robustness of gas turbine engine performance monitoring against sensor faults | |
Huang et al. | A modified fusion model-based/data-driven model for sensor fault diagnosis and performance degradation estimation of aero-engine | |
Volponi | Data fusion for enhanced aircraft engine prognostics and health management | |
Dewallef et al. | Combining classification techniques with Kalman filters for aircraft engine diagnostics | |
Mirzaee et al. | Fault tolerant control of an industrial gas turbine based on a hybrid fuzzy adaptive unscented Kalman filter | |
Fentaye et al. | Gas turbine gas-path fault identification using nested artificial neural networks | |
Sun et al. | Bayesian network-based multiple sources information fusion mechanism for gas path analysis |