[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Volponi, 2014 - Google Patents

Gas turbine engine health management: past, present, and future trends

Volponi, 2014

Document ID
15393539878938592100
Author
Volponi A
Publication year
Publication venue
Journal of engineering for gas turbines and power

External Links

Snippet

Engine diagnostic practices are as old as the gas turbine itself. Monitoring and analysis methods have progressed in sophistication over the past six decades as the gas turbine evolved in form and complexity. While much of what will be presented here may equally …
Continue reading at asmedigitalcollection.asme.org (other versions)

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric 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
    • G05B23/0243Electric 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
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0283Predictive 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]
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05DINDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
    • F05D2270/00Control
    • F05D2270/70Type of control algorithm
    • F05D2270/708Type of control algorithm with comparison tables
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05DINDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
    • F05D2270/00Control
    • F05D2270/40Type of control system
    • F05D2270/44Type of control system active, predictive, or anticipative
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05DINDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
    • F05D2270/00Control
    • F05D2270/01Purpose of the control system

Similar Documents

Publication Publication Date Title
Volponi Gas turbine engine health management: past, present, and future trends
Wei et al. Gas turbine aero-engines real time on-board modelling: A review, research challenges, and exploring the future
Yildirim et al. Aircraft gas turbine engine health monitoring system by real flight data
Zaccaria et al. Fleet monitoring and diagnostics framework based on digital twin of aero-engines
EP3483686B1 (en) Methods and apparatus for prognostic health monitoring of a turbine engine
Khan et al. Recent trends and challenges in predictive maintenance of aircraft’s engine and hydraulic system
Volponi et al. Development of an information fusion system for engine diagnostics and health management
Escher Pythia: An object-orientated gas path analysis computer program for general applications
Li et al. Novel gas turbine fault diagnosis method based on performance deviation model
Zhao et al. A review on gas turbine anomaly detection for implementing health management
Volponi Gas turbine engine health management: past, present and future trends
Rath et al. Aero engine health monitoring, diagnostics and prognostics for condition-based maintenance: An overview
Aretakis et al. Turbofan engine health assessment from flight data
Kraft et al. Optimization of aero gas turbine maintenance using advanced simulation and diagnostic methods
Chen et al. A dynamic performance diagnostic method applied to hydrogen powered aero engines operating under transient conditions
Chen et al. A time-series turbofan engine successive fault diagnosis under both steady-state and dynamic conditions
Simon An integrated architecture for on-board aircraft engine performance trend monitoring and gas path fault diagnostics
Kilic et al. Digital twin for Electronic Centralized Aircraft Monitoring by machine learning algorithms
Vianna et al. Health monitoring of an auxiliary power unit using a classification tree
Volponi Data fusion for enhanced aircraft engine prognostics and health management
Demirci et al. Fuzzy logic‐based automated engine health monitoring for commercial aircraft
Marinai Gas-path diagnostics and prognostics for aero-engines using fuzzy logic and time series analysis
Simon An overview of the NASA aviation safety program propulsion health monitoring element
da Silva et al. A machine learning approach to forecasting turbofan engine health using real flight data
Knezevic et al. Imperfect maintenance model for estimating aircraft fleet availability