AUTONOMOUS FAULT DIAGNOSIS: STATE OF THE ART AND AERONAUTICAL BENCHMARK

Recently I have no ideas to post something in my blogs, because I was so busy with some job in my office. I have to go travel to Bandung and Bogor to do my job, and that was really makes me so tired. Because of that to update my blogs, I just search on the internet about some interesting article and I found this article.
This article briefly reviews the state of the art in Fault Detection and Isolation (FDI), and give some description (describes) a test-case for in-flight fault diagnosis. The main concepts are recalled, the links between the approaches are indicated and the most promising methods are highlighted. The nonlinear models of the system, its sensors and actuators are described in the second part of the article, along with fault scenarios. Constraints restrict the approaches that are applicable on the test-case and suggest quantitative indicates that can be used to evaluate fault diagnosis strategies in an aeronautical context. This is the abstract of the article that I found it on the internet. I think this article is so useful to study and to know much more about how to write a nice article to International journal and to learn about Distance Learning in Business and Management, Distance Learning Management and Distance Learning Indonesia. This article has a conclusion like I write it below:
A survey of the main fault diagnosis approaches has been conducted in this paper. A classification according to the type of knowledge available has been proposed, and the links between apparently dissimilar techniques coming from different communities have been emphasized. We defined a test-case for in-flight FDI, based on an interceptor missile with a predetermined set of sensors and actuators with no hardware redundancy. The nonlinear models of the aircraft, its components and the faults affecting them were described in detail. Finally, methods to be further investigated along with the performance criteria to compare them were set forth.
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