Prognostic is one of the main issues in industrial systems due to a high level of maintenance required and its cost associated. Therefore, preventive maintenance and degradation monitoring is the main goal to achieve in integrated vehicle health monitoring methods (IVHM). Aeronautics maintenance policy is traditionally characterized by on condition maintenance for constant failure rate systems either with advised constant TBO (Time Between Overhaul) for wear accessories. However, system state knowledge could be improved using on line information provided by health indicators monitoring, so leading to an on-line degradation prognostic approach. As a result, the unscheduled maintenance operations (causing delay and cancellation) and the overscheduled maintenance operations could be reduced applying preventive maintenance instead of scheduled maintenance. The present study is devoted to failure prognostic and degradation monitoring in hydromechanical engine components. These components are used to adapt turbine geometry to achieve required engine performance. Degradation on those systems appears gradually with almost imperceptible trend becoming observable only when the system is already failing. First, a study using endurance bench test data is carried out so as to identify system failing modes and degradation trends, as well as aging observable indicators. Secondly, the literature on condition based maintenance (CBM) is presented, focusing on trending-based approaches. Next, this paper presents a methodology towards degradation tracking based on system state estimation and system parameter identification (on-line knowledge) combined with a priori experience on the system (off-line knowledge). The methodology provides on-line monitoring of system operating mode under the hypothesis of time-variant system.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Airplane components failure prognostic using system parameters identification for degradation monitoring


    Contributors:


    Publication date :

    2009


    Size :

    9 Seiten, 5 Bilder, 1 Tabelle, 21 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Identification of the stability parameters of an aeroelastic airplane

    RYNASKI, E. / ANDRISANI, II, D. / WEINGARTEN, N. | AIAA | 1978


    Prognostic failure detection system

    GENTRY NICHOLAS KRISTOFER | European Patent Office | 2018

    Free access

    Airplane-Runway-Performance Monitoring System

    Middleton, David B. / Person, Lee H., Jr. / Srivatsan, Raghavachari | NTRS | 1992


    Nondestructive testing of airplane components

    Jamet, J. | Tema Archive | 1995


    Environment monitoring airplane

    HU QILIN | European Patent Office | 2015

    Free access