Signals and Mechanical Systems

About this programme

The fundamental part provides knowledge of the theoretical background of signal analysis, e.g., Fourier analysis, FFT, DFT, correlation, signals and linear systems, Z-transforms, and digital filters. The application part provides practical knowledge of signal acquisition, sampling, and processing and highlights important applications of signal analysis in mechanical systems. Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information. Please note: all information from the Course syllabus is available on this page in an accessible format. Fundamental part: Amplitude characterisation, classification of signals, Fourier analysis and Laplace transforms in signal analysis, discrete signals (sampling, averaging, DFT, FFT, correlation methods, signals and linear systems - frequency response functions, power spectral density, frequency analysis with FFT, frequency analysis with filters, Z-transforms and digital filtering. The students will get practical training in using the theoretical concepts and signal analysis methods by computer exercises. Application part: Control of mechanical systems, machine monitoring, active control of sound and vibration. In the computer exercise in machine monitoring it is shown how vibration measurements can be used to detect defects in bearings. In the laboratory exercise on active control of sound digital filtering is used to attenuate sound in a duct. The aim of the first part of the course is to give the students knowledge about the theoretical