The course teaches Fourier analysis, self/mutual correlation and criteria as the basis of vibration/sound analysis and diagnosis, vibration measurement of a rotating machine, sound measurement.
Students learn the basis of vibration measurement and how to detect unusual vibration/sound and diagnose it.
By the end of the course, students will be able to understand theoretical basis of Fourier transform and application for measurement and analysis.
Fourier transform, Spectrum, Vibration of rotating body, Vibration diagnosis, Sound measurement
|✔ Specialist skills||Intercultural skills||Communication skills||Critical thinking skills||Practical and/or problem-solving skills|
Do the exercises each time and submit a homework by the next lecture.
|Course schedule||Required learning|
|Class 1||Fourier seriese expansion with complex number||Understand Fourier seriese expansion with complex number.|
|Class 2||Autocorrelation and cross-correlation||Understand theoretical basis of autocorrelation and cross-correlation|
|Class 3||Fourier transform and power spectrum||Understand Fourier transform and power spectrum|
|Class 4||Cross-spectrum and transfer function||Understand cross-spectrum and transfer function|
|Class 5||Vibration diagnosis (kurtosis, crest factor, skewness)||Understand evaluation value for vibration diagnosis|
|Class 6||Vibration of rotating body (order analysis, waterfall diagram, synchronous averaging)||Understand how to analyze vibration of rotating body|
|Class 7||Basics of sound||Understand basics of sound|
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Course materials are provided on OCW-i.
Report 40%, Exercise 60%
Shigeki MATSUMURA: matsumura.s.aa[at]m.titech.ac.jp