Design Condition Indicators Interactively

Explore data in the Diagnostic Feature Designer 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 Designer

Interactively extract, visualize, and rank features from measured or simulated data for machine diagnostics and prognostics

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
Estimate Approximate Entropy	Interactively estimate the approximate entropy of a uniformly sampled signal in the Live Editor
Estimate Correlation Dimension	Estimate the correlation dimension of a uniformly sampled signal in the Live Editor
Estimate Lyapunov Exponent	Interactively estimate the Lyapunov exponent of a uniformly sampled signal in the Live Editor

Topics

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.

Related Information

Featured Examples

Analyze and Select Features for Pump Diagnostics

Use the Diagnostic Feature Designer app to analyze and select features to diagnose faults in a triplex reciprocating pump.

Open Live Script

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.

Open Live Script