To present the main aspects of the measures for the automation field. In particular: processing of sensory data, estimation techniques for auto and cross-correlation, test signal generation, FFT based harmonic response estimation.
teacher profile teaching materials
Calibration. Measure chains.
Characteristics of the transducers with emphasys on the mechanical quantities (position, speed, acceleration, rotations).
Integrated transducers; I2C interface.
Acquisition systems.
Sensor data elaboration; averages; auto and cross correlation estimation; the FFT in power spectrum and harmonic responce estimation.
Generation of test signals.
Laboratory work.
Programme
Basics on measures.Calibration. Measure chains.
Characteristics of the transducers with emphasys on the mechanical quantities (position, speed, acceleration, rotations).
Integrated transducers; I2C interface.
Acquisition systems.
Sensor data elaboration; averages; auto and cross correlation estimation; the FFT in power spectrum and harmonic responce estimation.
Generation of test signals.
Laboratory work.
Core Documentation
Lecture notes and copy of the slides available on the Moodle site of the DepartmentType of delivery of the course
Classroom lessons. Experiences in laboratory.Attendance
Attendance is strongly adviced. The laboratory is not mandatory but is an important part of the education.Type of evaluation
The test includes the discussion of a short thesis (usually including some laboratory activity) and take an oral exam.