This paper presents a top-down design methodology for a behavioral modeling System, based on smart sensors for
aerospace structures monitoring, implemented on a MATLAB/Simulink environment. The modeled acquisition platform
in this aeronautic health monitoring systems (AHMS) is built using the following specific sensors: humidity, pressure,
temperature, stress and acceleration. For this application it has been implemented frequency acquisition techniques
ensuring optimum noise immunity, particularly: a signal acquisition technique based on voltage to frequency converter,
capacitance to frequency and frequency to code converters (VtoF-cC, CtoF-cC). The Simulink model presents a high
accuracy level in signal acquisition and conditioning compared to the electrical system simulation behavior.
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