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Internal combustion engine calibration teaching by Stand Alone System. This paper illustrates a teaching methodology for technical students of internal combustion engine calibration, by stand alone engine control unit with variable ignition and fuel injection time. Using a system named HIS (Stand alone Electronic Control Unit), to change the engine parameters, as fuel injection time and ignition time, the students can optimize fuel consumption, performance and exhaust emission. The tests are developed using the DOE (design of experiments) technique of artificial intelligence.

The Proposal of this paper is to demonstrate the diagnosis methodology based on Bayesian Net and fuzzy logic to indicate failure probability for vehicle systems and other segments, for instance medical and Aeronautic. This work was initially developed in a dissertation that has succeeded in developing a system of fault diagnosis for diesel engines and now this article demonstrated the possibility of extending this methodology to other vehicle systems and other segments science. Also extension to other areas was also added to the technique of logic that adds the advantage of supporting the fuzzy logic in complex environments, such as the vehicle approached the diagnosis, aerospace and medical.