The Fault Correction and the Fault Prediction Approaches for Increasing the Reliability of Aerospace and Automotive Systems

2016-36-0503

10/25/2016

Event
25th SAE BRASIL International Congress and Display
Authors Abstract
Content
Systems such as satellites, airplanes, cars and air traffic controls are becoming more and more complex and/or highly integrated. These systems integrate several technologies inside themselves, and must be able to work in very demanding environments, sometimes with few, or none, maintenance services, because of their severe conditions of work. To survive to such severe work conditions, the systems must present high levels of reliability, which are achieved through different approaches and processes. Therefore, it is necessary that the processes of decision analysis and making are progressively improved, taking into account experiences collected before by several technological communities, and then propose efficient modifications in the local processes. These experiences influence the proposition and improvement of several Reliability Standards Series taken by four different approaches and several technological communities. The first and second approaches were already discussed in a previous paper. So, in this work we discuss the fault correction and the fault prediction approaches for improving the reliability of aerospace and automotive systems. To do that, we review the basic concepts and literature, the items and necessary analyses on a reliability analysis document by those approaches, allowing the assessment of the reliability of the same subsystem for different mission times, and examples to illustrate them. The results obtained so far suggest that they can contribute to improving the reliability of aerospace and automotive systems.
Meta TagsDetails
DOI
https://doi.org/10.4271/2016-36-0503
Pages
17
Citation
de Oliveira e Souza, M., and de Cássia Ferreira Porto, R., "The Fault Correction and the Fault Prediction Approaches for Increasing the Reliability of Aerospace and Automotive Systems," SAE Technical Paper 2016-36-0503, 2016, https://doi.org/10.4271/2016-36-0503.
Additional Details
Publisher
Published
Oct 25, 2016
Product Code
2016-36-0503
Content Type
Technical Paper
Language
English