**5. Conclusions**

It was designed an intelligent temperature and vibration sensor/transducer based in nanostructures of AAO owing to measure the temperature and vibration over the surface of combustion motors, the achieved data is sent to the user according to get a diagnostic of the combustion motor performance and the user can understand whether the motor could need reparation or not.

The novelty of this proposed article is given in the mathematical analysis to design sophisticated transducers, the support of the analysis is the polynomial structure of the mathematical modeling due to the correlation between the theoretical equation of heating and vibration transfer with the experimental data achieved during the calibration. The MF in adaptive coefficients of the final model gives the advantage to optimize the data filtering while it is supported by the calibration information.

The algorithm designed as a consequence of the mathematical model can be programmed by different language programming because of the simple instructions and the weights achieved from the mathematical model and calibration data help to adapt the measured data according to estimate the right measured temperature and vibration by non-contact transduction. Hence, the transducer designed optimize electronic components of instrumentation, and as a consequence can enhance the effect over pollution caused by combustion motors in Peru, which are used in big quantities by the public and private transport without a continuous and practical monitoring of their operation, moreover it was possible to evaluate the performance of the designed sensor through wireless communication by IR and radiofrequency, which was possible to achieve because of the short response time and robustness of the designed sensor give enough time for the data communication according to get telemetric monitoring of the measured variables.

Finally, the designed sensor can use the energy stored from its own sun energy converter, which gives more independence and autonomy to the designed sensor.

The sample time was also part of the analysis because of it was obtained the digital models for the equations that can be programmed by the processor of the intelligent sensor (to measure the temperature and vibration of the motor surface). Nevertheless, for the RPM operating work the achieved error was less than 1 percent (for the Z transform reduction), hence it was decided to prioritize the equation analysis by Laplace domain, but the model can be used in their equivalent digital expressions whether the total computing response time could be near the system response time (temperature and vibration of the computer motor) even though the fast response in the transductions because of the sensor is based in nanostructures is a good advantage for the communication time when it was sent the measurement by wireless.
