Signal Processing Toolbox™ provides functions that let you study and characterize vibrations in mechanical systems. Use order analysis to analyze and visualize spectral content occurring in rotating machinery. Track and extract orders and their time-domain waveforms. Estimate the average spectrum of a signal as a function of order. Perform experimental modal analysis by estimating frequency-response functions, natural frequencies, damping ratios, and mode shapes. Plot stabilization diagrams. Remove noise coherently with time-synchronous averaging and analyze wear using envelope spectra. Generate high-cycle rainflow counts for fatigue analysis.
|Envelope spectrum for machinery diagnosis|
|Average spectrum versus order for vibration signal|
|Track and extract order magnitudes from vibration signal|
|Extract time-domain order waveforms from vibration signal|
|Frequency-RPM map for order analysis|
|Order-RPM map for order analysis|
|Track and extract RPM profile from vibration signal|
|Extract RPM signal from tachometer pulses|
|Time-synchronous signal average|
Analyze vibrations in rotating machinery using order analysis.
Estimate frequency-response functions and modal parameters from experimental data.
Rolling Element Bearing Fault Diagnosis (Predictive Maintenance Toolbox)
Perform fault diagnosis of a rolling element bearing based on acceleration signals. Apply envelope spectrum analysis and spectral kurtosis to fault diagnosis on bearings.
Identify a state-space model of a system and use the model to compute frequency-response functions and modal parameters.
Modal Analysis of a Flexible Flying Wing Aircraft (System Identification Toolbox)
This example shows computation of bending modes of a flexible wing aircraft.