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Signal analysis in mechanical engineering

Yksittäinen kurssi

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.

Vastuuopettaja

Oulun yliopisto
Juhani Nissilä
juhani.nissila(at)oulu.fi

Hakua koskevat kysymykset

FITech
Pilvi Lempiäinen , Opintopalveluiden päällikkö
pilvi.lempiainen(at)fitech.io
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Kategoria:
Tekniikan opinnot
Teema:
Konetekniikka
Kurssikoodi:
462113S
Opintopisteet:
5 ECTS
Price:
0 €
Taso:
Opetusaika:
1.9.–30.11.2020
Viimeinen hakupäivä:
25.8.2020
Järjestävä yliopisto:
Oulun yliopisto
Kohderyhmä:
Aikuisopiskelija,
Tutkinto-opiskelija
Opetustavat:
Verkko-opetus
Kieli:
Suomi
Esitietovaatimukset:
The course is self-contained, but basics in the following mathematical areas help: differential and integral calculus, probability and statistics, complex analysis and numerical methods
Kohderyhmä:
The course is useful for people who need to utilise signals measured from industrial machines
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