M.Tech I Year I Semester (R19)
Probability & Statistics, Kinematic of machinery and Dynamics of machinery.
The main objective of course is to present fundamentals to a modern treatment of
vibrations, placing the emphasis on analytical developments and computational solutions. This course will provide the detail knowledge about nonlinear and random vibration with fault diagnosis of machinery using vibration signature analysis.
After completing this course, students should be able to:
Probability Theory: Random Vibrations - Probability distribution and density functions - Excreted values - Conditional probability - Characteristic and log characteristic functions - Chebyshev inequality - Functions of random variables.
Random Processes - I: Concept of stationary and ergodicity - Evolutionary nono stationary process - Auto and cross correlation and covariance Functions - Mean square limit, differentiability and inerrability - Spectral decomposition.
Random Processes - II: Power spectral and cross spectral density Factions - Wiener - Khintchine relations - Properties of Gaussian. Poisson and Markov processes –Fokker - Planck Equation - Broad band and narrow band random processes - white noise.
Random Vibrations - I: Response of linear single and multi - degree of freedom systems to stationary excitation - Response of continuous systems - Normal mode method.
Random Vibrations - II: Level crossing, peak and envelop statistics - First excursion and fatigue.
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