Signal Analysis for Aerospace Engineering
Contact hours: 3
Instructor: Professor Frazho and Professor D. Sun
Text: Notes furnished by instructor.
Course Description: Signal processing and spectral analysis for aerospace engineering. Fourier and fast Fourier transforms. Estimation of natural frequencies. Review of Laplace transforms. An introduction to state space. Bode plots. An introduction to linear circuits and filtering. Low pass, band pass and high pass filters.
Offered: Fall and Spring
Pre-requisite: MA 26500 and MA 2660 or equivalent
Co-requisite: Ma 26100
Student Learning Outcomes:
On completing this course the student shall be able to:
- Use fast Fourier transform techniques to estimate sinusoids from experimental data.
- Estimate natural frequencies from data. For example beam vibration.
- Extract the underlying spectrum from time history.
- An elementary understanding of stability and state space systems.
- An elementary understanding of transfer functions and Bode plots.
- Analyze mass spring damper systems.
- Analyze and design elementary linear circuits.
- Design low pass, band pass and high pass filters.
Relationship of Course to Program Outcomes
|Program Learning Outcomes||Included?|
|a||An ability to apply knowledge of mathematics, science, and engineering||Yes|
|b||An ability to design and conduct experiments, as well as to analyze and interpret data||Yes on Analyze Data|
|c||An ability to design an aerospace system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health, and safety, manufacturability, and sustainability||No|
|d||An ability to function on multidisciplinary teams||No|
|e||An ability to identify, formulate, and solve aerospace engineering problems||Yes|
|f||An understanding of professional and ethical responsibility||No|
|g||An ability to communicate effectively||No|
|h||An understanding of the impact of engineering solutions in a global, economic, environmental, and societal context||No|
|i||A recognition of the need for, and an ability to engage in life-long learning||No|
|j||A knowledge of contemporary issues in aerospace engineering||No|
|k||An ability to use the techniques, skills and modern engineering tools necessary for aerospace engineering practice||Yes|
- Time domain analysis and Fourier series (6)
- The fast Fourier transform (5)
- Estimating sinusoids in noise with Aerospace Applications (3)
- Laplace transform review (5)
- Resistor, capacitor, inductors, operational amplifiers (4)
- State space analysis (4)
- Mass spring damper systems (3)
- Tuned vibration damper (2)
- Bode Plots (5)
- Resonance frequencies (2)
- Butterworth filters (4)
Format updated: January 31, 2011