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@InProceedings{MedeirosRodKerSanShi:2015:InTaAs,
               author = "Medeiros, Ivo Paix{\~a}o de and Rodrigues, Leonardo Ramos and 
                         Kern, Christian Stromtmann and Santos, Rafael Duarte Coelho dos 
                         and Shiguemori, Elcio",
          affiliation = "Embraer and Embraer and Embraer and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Integrated Task Assignment and Maintenance Recommendation based on 
                         System Architecture and PHM Information for UAVs",
                 year = "2015",
         organization = "Annual IEEE International Systems Conference, 9.",
             abstract = "Recently, Unmanned Aerial Vehicle (UAV) have become important in 
                         supporting military and civilian organizations for gathering 
                         information and assessing situations from remote locations. As 
                         such, squad of UAVs have been deployed to gather data from 
                         different locations, thus providing operators with the most 
                         up-to-date situational information for the areas they cover. Based 
                         on that evidence, there is no doubt that these vehicles have been 
                         providing helpful capability, but abnormal conditions and degraded 
                         system components can render their capabilities ineffective. 
                         Prognostics and Health Monitoring (PHM) has the potential to 
                         extend a vehicle lifecycle, as an enabler that provides, in 
                         advance, health information regards to critical systems for the 
                         operation of an UAV. PHM (Prognostics and Health Monitoring) can 
                         be defined as the capability of assessing the health state, 
                         predicting impending failures and forecasting the expected RUL 
                         (Remaining Useful Life) of a component based on a set of 
                         measurements collected from systems. Bearing that in mind, another 
                         important concept that could be built upon PHM is IVHM (Integrate 
                         Vehicle Health Management); that is the unified capability of 
                         integrating PHM within a framework of available resources and 
                         operational demand. Whenever, it is applied to decision making 
                         problems relating to flight operations decision and maintenance 
                         optimization; such as task assignment and maintenance 
                         recommendation, that one comes into play as a powerful decision 
                         support tool to provide operational efficiency, low ownership 
                         costs and high availability. This big picture is the IVHM 
                         proposal, which could for example integrates PHM information 
                         relating to critical components, UAV systems architecture, mission 
                         time constraints, tasks priority for a given mission and safety 
                         concerns in order to assign UAVs to their waypoint in a sortie and 
                         to plan maintenance aiming to perform a higher dispatchability; 
                         integrating available resources and operational demand scenario. 
                         So that, this work aims to integrate task assignment and 
                         maintenance recommendation, both based on PHM information, for 
                         UAVs (Unmanned Aerial Vehicle) Swarm. Task assignment is the 
                         problem of assigning a vehicle to a task and to perform this. This 
                         paper uses a PHM-based assignment solution; this solution takes 
                         into account mission time, task priority and vehicle health state. 
                         Another concept in this paper is maintenance recommendation, that 
                         is the operation of defining which component should receive 
                         maintenance action. It is computed by an algorithm that takes into 
                         account PHM information, system architecture and safety margins. 
                         As mentioned earlier, both take advantage of a combination of PHM 
                         information and system architecture to compute UAV health state, 
                         so called here S-RUL (System Level Remaining Useful Life); S-RUL 
                         is the integration element in this solution granting that the 
                         squad is assigned to their task considering the chance they could 
                         come into failure and that they are receiving proper maintenance 
                         considering the vehicle architecture or mission demand, such way 
                         the squad have high readiness. In S-RUL, the decision maker does 
                         not have to deal with a set of component level RULs. Instead, the 
                         S-RUL provides information related to the time when the whole 
                         system will stop working or the mission constraints do not match. 
                         In the case study, a simplified pitch control system is used to 
                         illustrate the application of the proposed method to UAVs Swarm.",
  conference-location = "Vancouver, Canada",
      conference-year = "13-16 apr.",
             language = "en",
        urlaccessdate = "04 dez. 2020"
}


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