In R2019a the Diagnostic Feature Explorer addon has been replaced by the Diagnostic Feature Designer Tool that ships with the Predictive Maintenance Toolbox.
With the Diagnostic Feature Explorer you can interactively:
- Explore your data ensemble visually by plotting and interacting with your ensemble members together.
- Convert your data into different forms for further exploration. For example, you can create a power spectrum of your signal to evaluate its frequency-domain behavior. Or you can perform time-synchronous averaging, which filters out any noise or disturbance that is not associated with your machine rotation.
- Generate features of various types, and plot histograms that visualize their effectiveness in separating data from systems with different conditions.
- Rank the features you have generated using ranking algorithms that use specific criteria to establish which features are most effective.
Alec Stothert (2019). Diagnostic Feature Explorer (https://www.mathworks.com/matlabcentral/fileexchange/69101-diagnostic-feature-explorer), MATLAB Central File Exchange. Retrieved .
R2019a updates to point to the Diagnostic Feature Designer Tool that ships with the Predictive Maintenance Toolbox. Also includes the updateDFEToDFD() command to update saved tool sessions to the Diagnostic Feature Designer format.
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