Main Content

Power Spectrum

A power spectrum characterizes frequency content and resonances within a system. Because degradation usually causes changes in the spectral signature, spectral behavior provides a rich source of information for feature generation.

Select from nonparametric and parametric algorithms. The nonparametric option is Welch's Method. The parametric options are Autoregressive Model and State-space Model. For the parametric methods, Diagnostic Feature Designer fits a parametric model to the signal. The software then uses this model to compute the spectral density.

When you select an algorithm, a new algorithm-specific tab that contains processing parameters opens.

Algorithm

  • Welch's Method — The app calculates the power spectrum from the source signal using Welch's method. For information on setting window parameters, see pwelch.

  • Autoregressive Model — The app fits an AR model to the signal and uses this model to compute the spectral density. For information on setting model order, approach, and windowing method, see ar.

  • State-Space Model — The app fits a state-space model to the signal and uses this model to compute the spectral density.

    • Model Order — Specify the model order directly, or specify a range of orders for automatic order selection. With automatic order selection, the software automatically selects the smallest order that leads to a good fit to the data.

    • Improve results using nonlinear least squares search — Selecting this option improves estimation results for specific scenarios, at the cost of additional computational time. For more information, see the 'SearchMethod' option in ssestOptions.

    • Maximum number of iterations — Increase the number of iterations to improve result accuracy. Decrease the number to improve computational speed.

    For more information on state-space modeling, see ssest.

Source Signal and Frequency Settings

  • Signal — Source signal for the power spectrum. Select the source signal from the data browser before you select data processing options. To change to a different source signal, close the algorithm tab and select a new signal in either the Data Processing Tab or the Data Browser panel.

  • Frequency — Frequency settings for the frequency axis. To set these values manually, clear Select automatically and update the parameters for the frequency vector generation.

Additional Information

The software stores the results of the computation in a new variable. The new variable name includes the source signal name with the suffix ps.