The fundamental part gives knowledge of the theoretical background of signal analysis, e.g., Fourier analysis, FFT, DFT, correlation, signals and linear systems and the Z-transforms and digital filters. In the application part signal analysis is used in some important applications.
Select the semester and course offering above to get information from the correct course syllabus and course offering.
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 foundations of signal analysis, and ability to apply this knowledge for analysis of mechanical systems. The aim of the application part of the course is to acquire knowledge and practical ability in important methods in analysis of mechanical systems.
The student should after finishing the course be able to:
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Basic courses in mathematics, mechanics.
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Kompendium: H. Bodén, K. Ahlin, U Carlsson, Signaler och Mekaniska System, KTH Farkost och Flyg.
Kurspärm med kompletterande material.
A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Written examination (TEN1; 3 university credits). Computer exercises (LAB1; 2 university credits), Laboratory exercise (LAB2; 1 university credits).
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Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.
Course web SD2125No information inserted
Second cycle
SD2140 Vibroacoustics
SD2165 Acoustical Measurements
SD2150 Experimental Structure Dynamics
SD2155 Flow Acoustics
SD1135 Project Course in Sound, Vibrations and Signals
SD2170 Energy Methods
SD2175 Numerical Methods for Acoustics and Vibration
SD2180 Non-Linear Acoustics
SD2185 Ultrasonics
SD2190 Vehicle Acoustics and Vibration