Signal analysis in mechanical engineering
The course consists of the most important mathematical methods of digital signal processing related to mechanical engineering, such as filters, numerical differentiation and integration, application of the discrete Fourier transform, calculation of signal features in time and frequency domains, envelope analysis and other cyclostationary methods, describing mechanical phenomena by means of random signals and basics of statistical pattern recognition. Exercises from example applications and on numerical signal processing are provided.
After the course, the student is able to evaluate the effects of signal processing and analysis on the usability of measurement data from machines. These skills are essential e.g. in machine diagnostics, control engineering, machine automation and robotics.
The course is based on online learning. Guided self-study material is provided in the form of lecture materials and recorded example exercises. Students return solutions to given math exercises and programming exercises (Octave or Matlab) which are automatically evaluated and which directly affect the grade. Finally at the end of the course a larger programming project work is also completed together with a short report.
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