egm 5121c - data measurement & analysis – fall 2011 5121c 201108...egm 5121c - data...

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EGM 5121C - Data Measurement & Analysis – Fall 2011 Description Credits: 3. Prereq: None. Tools for random data analysis (including types of random data, mean values, mean-square values, probability density and distribution functions, moments and characteristic functions, spectral and correlation analysis); bias and random error estimates in data measurements; input-output system models; measurement examples. Course Objectives The objective of this course is to explore the application of time- and frequency-domain methods to time series data. The course builds upon the fundamental principles introduced in statistics and numerical & experimental methods and is intended primarily for graduate students interested in data analyses. The course emphasizes the understanding, application, and interpretation of various methods. Statistical functions (e.g., probability density functions, moments, etc.), time- domain (e.g., auto- and cross-correlation) functions, and frequency-domain (e.g., auto- and cross- spectra) methods are derived and applied to practical engineering problems. The application of the methods presented in the course will be illustrated via homework problems that utilize MATLAB. Exams will also be used to reinforce important aspects of the methods. Finally, a project will apply a specific analysis to engineering data applicable to the student’s research topic. Topics MATLAB review Frequency response functions Flow, acoustic & vibration transducers FFT analyzers Weighting functions and filters Coherence functions System dynamics Coherent output power Statistics and probability Single-input/single-output (SISO) models Data classification Multiple-input/single-output (MISO) models Correlation functions Model adequacy and interpretation Spectral analysis Bias errors in estimates Fourier transform & series, DFT, FFT Random errors in estimates Data acquisition principles Text and Other Resources Required Text: Random Data: Analysis and Measurement Procedures, Fourth Edition, by J. S. Bendat and A. G. Piersol, Wiley Interscience, 2000. Supplemental Text: Engineering Applications of Correlation and Spectral Analysis, Second Edition, by J. S. Bendat and A. G. Piersol, Wiley Interscience, 1993. Student version or standard version of Matlab (required) Course web page Accessible via https://lss.at.ufl.edu/

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Page 1: EGM 5121C - Data Measurement & Analysis – Fall 2011 5121C 201108...EGM 5121C - Data Measurement & Analysis – Fall 2011 Description Credits: 3. Prereq: None. Tools for random data

EGM 5121C - Data Measurement & Analysis – Fall 2011 Description Credits: 3. Prereq: None. Tools for random data analysis (including types of random data, mean values, mean-square values, probability density and distribution functions, moments and characteristic functions, spectral and correlation analysis); bias and random error estimates in data measurements; input-output system models; measurement examples.

Course Objectives The objective of this course is to explore the application of time- and frequency-domain methods to time series data. The course builds upon the fundamental principles introduced in statistics and numerical & experimental methods and is intended primarily for graduate students interested in data analyses. The course emphasizes the understanding, application, and interpretation of various methods. Statistical functions (e.g., probability density functions, moments, etc.), time-domain (e.g., auto- and cross-correlation) functions, and frequency-domain (e.g., auto- and cross-spectra) methods are derived and applied to practical engineering problems. The application of the methods presented in the course will be illustrated via homework problems that utilize MATLAB. Exams will also be used to reinforce important aspects of the methods. Finally, a project will apply a specific analysis to engineering data applicable to the student’s research topic.

Topics MATLAB review Frequency response functions Flow, acoustic & vibration transducers FFT analyzers Weighting functions and filters Coherence functions System dynamics Coherent output power Statistics and probability Single-input/single-output (SISO) models Data classification Multiple-input/single-output (MISO) models Correlation functions Model adequacy and interpretation Spectral analysis Bias errors in estimates Fourier transform & series, DFT, FFT Random errors in estimates Data acquisition principles

Text and Other Resources Required Text: Random Data: Analysis and Measurement Procedures, Fourth

Edition, by J. S. Bendat and A. G. Piersol, Wiley Interscience, 2000. Supplemental Text: Engineering Applications of Correlation and Spectral

Analysis, Second Edition, by J. S. Bendat and A. G. Piersol, Wiley Interscience, 1993.

Student version or standard version of Matlab (required)

Course web page Accessible via https://lss.at.ufl.edu/

Page 2: EGM 5121C - Data Measurement & Analysis – Fall 2011 5121C 201108...EGM 5121C - Data Measurement & Analysis – Fall 2011 Description Credits: 3. Prereq: None. Tools for random data

Grade Determination Homework 30%

Exams (midterm & final) 50% Project 20% Total 100%

Grades will be assigned as follows based upon weighted course average G: 85 – 87.5: B+ 77 – 80: C+ 67 – 70: D+ 0 – 60: E 90 – 100: A 82.5 – 85: B 73 – 77: C 63 – 67: D 87.5 – 90: A- 80 – 82.5: B- 70 – 73: C- 60 – 63: D-

(see http://www.isis.ufl.edu/minusgrades.html)

Instructor Information Dr. Louis N. Cattafesta III Professor, Department of Mechanical and Aerospace Engineering 225 Benton Office Hours: T 4th period (10:40-11:30), R 3rd period (9:35-10:25) others by appointment Phone: 352-846-3017 Email: [email protected]

TA Information Arnab Roy Office Location: MAE-A Room 130 Office Hours: M, W 10:00 – 11:00 a.m. Phone: 352-392-6740 Email: [email protected]

Class Attendance Students are expected to attend class on a regular basis. T 7 (1:55-2:45), R 7, 8 (1:55-2:45 & 3:00-3:50) in CSE 118.

Student Behavior Please turn cell phones off, and show up to class on time.

Late / Makeup Work Students are permitted one late HW submission, provided the HW is handed in prior to the posting of the solution. Make-up exams will not be given. If a student has a legitimate reason for missing an examination or assignment, the course grade will be determined from the remainder of the other course assignments.

Academic Honesty All students admitted to the University of Florida have signed a statement of academic honesty committing themselves to be honest in all academic work and understanding that failure to comply with this commitment will result in disciplinary action. This statement is a reminder to

Page 3: EGM 5121C - Data Measurement & Analysis – Fall 2011 5121C 201108...EGM 5121C - Data Measurement & Analysis – Fall 2011 Description Credits: 3. Prereq: None. Tools for random data

uphold your obligation as a student at the University of Florida and to be honest in all work submitted and exams taken in this class and all others.

Accommodations for Disabilities Students with disabilities who are requesting classroom accommodation must first register with the Dean of Students Office. The Dean of Students Office will provide documentation to the student who must then provide this documentation to the Instructor when requesting accommodations.

Other Student Resources University Counseling Center - (352) 392-1575 - http://www.counsel.ufl.edu/default.asp Mental Health Services - (352) 392-1171 - http://www.health.ufl.edu/shcc/smhs.htm Alachua County Crisis Center - (352) 264-6789 ASME web site on ethics - http://www.asme.org/ethics/