Design Condition Indicators Interactively
The Diagnostic Feature Designer app lets you extract features from your data interactively. Within the app, you can prepare your data for feature extraction, extract features and visualize their effectiveness, and rank features using various statistical algorithms. You can generate code from the app to replicate and automate the computations for the most effective features. For more information on the app, see Explore Ensemble Data and Compare Features Using Diagnostic Feature Designer.
Use Live Editor tasks to perform phase space reconstruction interactively and to extract the approximate entropy, correlation dimension, and Lyapunov exponent without writing code. The tasks generate plots that let you explore the effects of changing parameter values and options, and automatically generate code that becomes part of your live script.
|Diagnostic Feature Designer||Interactively extract, visualize, and rank features from measured or simulated data for machine diagnostics and prognostics (Since R2019a)|
Live Editor Tasks
|Extract Spectral Features||Interactively extract spectral fault band metrics in the Live Editor (Since R2021a)|
|Reconstruct Phase Space||Reconstruct phase space of a uniformly sampled signal in the Live Editor (Since R2019b)|
|Estimate Approximate Entropy||Interactively estimate the approximate entropy of a uniformly sampled signal in the Live Editor (Since R2019b)|
|Estimate Correlation Dimension||Estimate the correlation dimension of a uniformly sampled signal in the Live Editor (Since R2019b)|
|Estimate Lyapunov Exponent||Interactively estimate the Lyapunov exponent of a uniformly sampled signal in the Live Editor (Since R2019b)|
Condition Indicator Basics
- Condition Indicators for Monitoring, Fault Detection, and Prediction
A condition indicator is any feature of system data whose behavior changes in a predictable way as the system degrades.
- Design Condition Indicators for Predictive Maintenance Algorithms
This three-part tutorial shows you how to work with ensemble data and extract and rank features in Diagnostic Feature Designer.
Diagnostic Feature Designer App
- Explore Ensemble Data and Compare Features Using Diagnostic Feature Designer
Follow this workflow for interactively exploring and processing ensemble data, designing and ranking features from that data, and exporting data and selected features, and generating MATLAB® code.
Condition Indicators in Live Editor Tasks
- Reconstruct Phase Space and Estimate Condition Indicators Using Live Editor Tasks
Use Live Editor tasks to reconstruct phase space of a uniformly sampled signal and then use the reconstructed phase space to estimate the correlation dimension and the Lyapunov exponent.
- Analyze Gear Train Data and Extract Spectral Features Using Live Editor Tasks
Use Live Editor tasks to construct fault bands and extract spectral features for fault detection and identification.