@InProceedings{MedeirosRodSanShiNas:2014:PHMuTa,
               author = "Medeiros, Ivo Paix{\~a}o de and Rodrigues, Leonardo Ramos and 
                         Santos, Rafael Duarte Coelho dos and Shiguemori, Elcio Hideiti and 
                         Nascimento Jr., Cairo L{\'u}cio",
          affiliation = "{EMBRAER S.A.} and {EMBRAER S.A.} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Departamento de Ci{\^e}ncia e 
                         Tecnologia Aeroespacial (DCTA)} and {Instituto Tecnol{\'o}gico de 
                         Aeron{\'a}utica (ITA)}",
                title = "PHM-based multi-UAV task assignment",
                 year = "2014",
                pages = "42--49",
         organization = "Systems Conference (SysCon), Annual IEEE, 8.",
            publisher = "IEEE Computer Society",
              address = "Ottawa, ON",
             keywords = "prognostics, health management, task assignment, unmanned aerial 
                         vehicle.",
             abstract = "This paper is relating to the application of Integrated Vehicle 
                         Health Management (IVHM) concepts based on Prognostics and Health 
                         Monitoring (PHM) techniques to Multi-UAV systems. Considering UAV 
                         as a mission critical system, it is expected and required to 
                         accomplish its operational objectives with minimal unscheduled 
                         interruptions. So that, it does make sense for UAV to take 
                         advantage of those techniques as enablers for the readiness of 
                         multi-UAV. The main goal of this paper is to apply information 
                         from a PHM system to support decision making through an IVHM 
                         framework. PHM system information, in this case, comprises UAV 
                         remaining useful life (RUL) estimations. UAV RUL is computed by 
                         means of a fault tree analysis that it is fed by a distribution 
                         function from a probability density function relating time and 
                         failure probability for each UAV critical components. The IVHM 
                         framework, in this case, it is the task assignment based on UAV 
                         health condition (RUL information) using the Receding Horizon Task 
                         Assignment (RHTA) algorithm. The study case was developed 
                         considering a team of electrical small UAVs and pitch control 
                         system was chosen as the critical system.",
  conference-location = "Ottawa, Canada",
      conference-year = "mar. 31 - apr. 3, 2014",
                  doi = "10.1109/SysCon.2014.6819234",
                  url = "http://dx.doi.org/10.1109/SysCon.2014.6819234",
                 isbn = "9781479920877",
                label = "scopus 2014-07 MedeirosRodSanShiNas:2014:PHMuTa",
             language = "en",
           targetfile = "06819234.pdf",
        urlaccessdate = "27 abr. 2024"
}