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Identify Condition Indicators Interactively

Explore data in the app and in specialized Live Editor tasks to identify features that can indicate system status or predict future states

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.

Apps

Diagnostic Feature DesignerInteractively extract, visualize, and rank features from measured or simulated data for machine diagnostics and prognostics

Live Editor Tasks

Reconstruct Phase SpaceReconstruct phase space of a uniformly sampled signal in the Live Editor
Estimate Approximate EntropyInteractively estimate the approximate entropy of a uniformly sampled signal in the Live Editor
Estimate Correlation DimensionEstimate the correlation dimension of a uniformly sampled signal in the Live Editor
Estimate Lyapunov ExponentInteractively estimate the Lyapunov exponent of a uniformly sampled signal in the Live Editor

Topics

Condition Indicators 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.

Condition Indicators in Diagnostic Feature Designer

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.

Identify Condition Indicators for Predictive Maintenance Algorithm Design

This three-part tutorial shows you how to work with ensemble data and extract and rank features in Diagnostic Feature Designer.

Interpret Feature Histograms in Diagnostic Feature Designer

Interpret feature histograms to assess how well each feature separates labeled groups of data.

Isolate a Shaft Fault Using Diagnostic Feature Designer

This example shows how to isolate a shaft fault from simulated measurement data for machines with varying rotation rates.

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.

Featured Examples