• DocumentCode
    2004827
  • Title

    Normal signature characterization for system health assessment

  • Author

    Bect, Pierre ; Simeu-abazi, Zineb ; Maisonneuve, Pierre-Loic ; Pero, Marc ; Mermoz, Emmanuel

  • Author_Institution
    EADS Eurocopter, Marignane, France
  • fYear
    2011
  • fDate
    24-25 May 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Helicopter is a system on which operates a large number of specialities from electrical domain to mechanical domain. Today, diagnosis methods are segmented by field of expertise. Each expert treats the sub-system whose he is responsible for regardless of the results of other specialities. Therefore, there is no relation between specialities. Thus, diagnosis at system level is efficient but, due to the lack of correlation between subsystems, it is incomplete. Within the framework of a helicopter, the operator of maintenance uses all the data recorded during the flight, the results of expert treatments, but also his knowledge, his experience and his capacities of observation and analysis to provide an effective global diagnosis. In order to build relation between fields of expertise and so, to obtain a diagnosis at aircraft level which could be relevant, we try to set up a concept which gets closer, at most, to human judgment but which is not well adapted to industrial environment: the normality. During our study, we established that to reach our objective and to stick at best with the concept of normality, the most relevant solution consists in building a global normal signature. This signature could be illustrated as the image of the aircraft health, qualified as normal. This paper defines the normal signature and explains, in part, the process of its building.
  • Keywords
    aircraft maintenance; aircraft testing; condition monitoring; diagnostic expert systems; aircraft diagnosis method; aircraft health assessment; data recording; electrical domain; expert treatment; global normal signature characterization; helicopter health assessment; maintenance operator; mechanical domain; Artificial neural networks; Helicopters; Random access memory; Diagnostic; health assessment; knowledge extracting; normality; prognostic; signature analysis; signature design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management Conference (PHM-Shenzhen), 2011
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-7951-1
  • Electronic_ISBN
    978-1-4244-7949-8
  • Type

    conf

  • DOI
    10.1109/PHM.2011.5939475
  • Filename
    5939475