@InProceedings{PortoSouz:2018:DiFaPr,
               author = "Porto, Roberta de Cassia Ferreira and Souza, Marcelo Lopes de 
                         Oliveira e",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "A discussion on fault prognosis/prediction and health monitoring 
                         techniques to improve the reliability of aerospace and automotive 
                         systems",
            booktitle = "Proceedings...",
                 year = "2018",
         organization = "SAE BRASIL International Mobility Technology Congress and 
                         Exhibition, 27.",
              address = "SAE International",
             abstract = "Currently, aerospace and automotive industries are developing 
                         complexand/or highly integrated systems, whose services require 
                         greater confidence to meet a set of specifications that are 
                         increasingly demanding, such as successfully operating a 
                         communications satellite, a commercial airplane, an automatic 
                         automobile, and so on. To meet these requirements and 
                         expectations, there is a growing need for fault treatment, up to 
                         predict faults and monitor the health of the components, 
                         equipment, subsystems or systems used. In the last decades, the 
                         approaches of 1) Fault Prevention, 2) Fault Detection/Tolerance 
                         and 3) Fault Detection/Correction have been widely studied and 
                         explored. Now, also due to the increasing power of computation and 
                         communication and their decreasing prices and lead times, the 4) 
                         Fault Prognosis/Prediction and Health Monitoring Approach (PHM) is 
                         a rising subject in the scientific and engineering community, 
                         demanding methodologies that allow us to increase system 
                         reliability, availability, maintainability (RAM), productivity, 
                         mission autonomy and reduce operational delays and costs. So: This 
                         paper presents a discussion on fault prognosis/prediction and 
                         health monitoring techniques to improve the reliability of 
                         aerospace and automotive systems. To do that, it: 1) reviews the 
                         literature on the fields of fault prognosis/prediction and health 
                         monitoring of aerospace and automotive systems; 2) summarize some 
                         reports of cases, highlighting the tools and methodologies used; 
                         3) briefly compare them with the other 3 approaches for fault 
                         treatment; 4) include a list of published or on-going related 
                         standards; 5) discuss their applicability to aerospace and 
                         automotive systems, aiming to stimulate their application and 
                         identify research and development opportunities in these fields. 
                         Based on all this, we expect to show that the application of fault 
                         prognosis/prediction and health monitoring techniques to 
                         components, equipment, subsystems or systems can: 1) provide 
                         significant gains in terms of analysis, decision-making and 
                         anticipation of faults; 2) increase system reliability, 
                         availability, maintainability (RAM), productivity, mission 
                         autonomy and reduce operational delays and costs in the aerospace 
                         and automotive industries;3) shortly and mainly, avoid system 
                         failures. Positions and opinions advanced in this paper are those 
                         of the author(s) and not necessarily those of SAE. The authors 
                         solely responsible for the content of the paper.",
  conference-location = "S{\~a}o Paulo, SP",
      conference-year = "03-05 sept.",
                  doi = "10.4271/2018-36-0316",
                  url = "http://dx.doi.org/10.4271/2018-36-0316",
                 issn = "01487191",
             language = "en",
           targetfile = "porto_discussion.pdf",
        urlaccessdate = "20 abr. 2024"
}