Volponi, 2005 - Google Patents
Data fusion for enhanced aircraft engine prognostics and health managementVolponi, 2005
View PDF- Document ID
- 4442712916395820903
- Author
- Volponi A
- Publication year
External Links
Snippet
Aircraft gas-turbine engine data is available from a variety of sources, including on-board sensor measurements, maintenance histories, and component models. An ultimate goal of Propulsion Health Management (PHM) is to maximize the amount of meaningful information …
- 230000004927 fusion 0 title abstract description 83
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
- G05B23/0254—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 based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
-
- 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
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
- G05B23/0278—Qualitative, e.g. if-then rules; Fuzzy logic; Lookup tables; Symptomatic search; FMEA
-
- 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
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhou et al. | Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks | |
Volponi et al. | Development of an information fusion system for engine diagnostics and health management | |
Zaccaria et al. | Fleet monitoring and diagnostics framework based on digital twin of aero-engines | |
Volponi | Gas turbine engine health management: past, present, and future trends | |
Lu et al. | An improved extended Kalman filter with inequality constraints for gas turbine engine health monitoring | |
Yildirim et al. | Aircraft gas turbine engine health monitoring system by real flight data | |
Litt et al. | A survey of intelligent control and health management technologies for aircraft propulsion systems | |
Li | Performance-analysis-based gas turbine diagnostics: A review | |
Li et al. | Novel gas turbine fault diagnosis method based on performance deviation model | |
Volponi | Data fusion for enhanced aircraft engine prognostics and health management | |
De Giorgi et al. | Jet engine degradation prognostic using artificial neural networks | |
Ullah et al. | An investigation of exhaust gas temperature of aircraft engine using LSTM | |
Volponi et al. | Improved engine health monitoring using full flight data and companion engine information | |
Kobayashi et al. | Aircraft engine sensor/actuator/component fault diagnosis using a bank of Kalman filters | |
Simon | An integrated architecture for on-board aircraft engine performance trend monitoring and gas path fault diagnostics | |
Volponi | Gas turbine engine health management: past, present and future trends | |
DePold et al. | The application of expert systems and neural networks to gas turbine prognostics and diagnostics | |
Kilic et al. | Digital twin for Electronic Centralized Aircraft Monitoring by machine learning algorithms | |
Huang et al. | A modified fusion model-based/data-driven model for sensor fault diagnosis and performance degradation estimation of aero-engine | |
Fentaye et al. | Gas turbine gas-path fault identification using nested artificial neural networks | |
Demirci et al. | Fuzzy logic‐based automated engine health monitoring for commercial aircraft | |
Ogaji et al. | Novel approach for improving power-plant availability using advanced engine diagnostics | |
Calderano et al. | An enhanced aircraft engine gas path diagnostic method based on upper and lower singleton type-2 fuzzy logic system | |
Su et al. | Risk warning for aircraft bleed air system with multivariate state estimation technique | |
Marinai | Gas-path diagnostics and prognostics for aero-engines using fuzzy logic and time series analysis |