Import an ensemble member table from your workspace, define variable types, and view the data using interactive plotting options.
Filter and transform data within the app. Extract features from the imported and derived signals, and assess feature effectiveness.
Use ranking techniques in Diagnostic Feature Designer to identify the most effective features. Based on the rankings, select and export features to Classification Learner or to the MATLAB workspace.
Predictive Maintenance Toolbox™ helps you identify condition indicators in our data and design algorithms for monitoring system condition and predicting remaining useful life.