ME 610 Data Acquisition and Signal Analysis
ME 610 Data Acquisition and Signal Analysis (3). Prerequisites: ME 314, ME 315, ME 415 and ME 435. Implementation of PC-based data acquisition systems for dynamic signal analysis. The LabView graphical programming language will be used to design virtual instruments for data collection and digital signal analysis.
Prerequisites by Topic
- Differential equations
- Linear system dynamics
- System dynamics
Robert H. Bishop, Learning with LabView 7, Prentice-Hall, 2004.
Steven W. Smith, The Scientist and Engineers Guide to Digital Signal Processing, California Technical Publishing, 2001. Richard G. Lyons, Understanding Digital Signal Processing, Prentice-Hall, 2001
W.P. Hnat, Professor of Mechanical Engineering.
This course provides graduate students with a background in data acquisition and digital signal analysis with applications to dynamic signals. Students learn to develop and implement virtual instruments using the graphical programming language LabView.
- Data acquisition systems (2 classes)
- Periodic sampling (2 classes)
- LabView basics (3 classes)
- Discrete Fourier transform (2 classes)
- Fast Fourier transform (2 classes)
- Anti-aliasing filters (2 classes)
- Signal averaging (2 classes)
- Analysis techniques (2 classes)
- Analog output and control (2 classes)
- Applications (3 classes)
- Examinations (2 classes)
LabView is used for data acquisition and analysis.
Two 75 minute sessions per week devoted to lecture, discussion, experimentation and problem solving.
Homework 10%, Exams 20%, Final 20%, Lab Projects 50%
Professional Component Contribution
Engineering science: 2 credits, engineering design: 1 credit.
Relationship to Program Objectives
This course supports Mechanical Engineering program objectives by developing:
- An ability to apply knowledge of mathematics, science, and engineering in the field of mechanical engineering.
- An ability to identify, formulate and solve problems in the field of mechanical engineering.
- An understanding of professional and ethical responsibility in the field of mechanical engineering. The ability to communicate effectively.
- A recognition of the need for, and an ability to engage in, life-long learning in the field of mechanical engineering.
- An ability to use the techniques, skills, and modern tools necessary for the practice of mechanical engineering.
Prepared by W.P. Hnat, March 2006