Industrial Machinery Anomaly Detection

Train an autoencoder on normal operating data from an industrial machine to predict anomalies.

631 descargas

Actualizado 30 Sep 2021

De GitHub

Ver licencia en GitHub

Nota del editor: This file was selected as MATLAB Central Pick of the Week

Industrial Machinery Anomaly Detection

View <Industrial Machinery Anomaly Detection using an Autoencoder> on File Exchange

This example applies various anomaly detection approaches to operating data from an industrial machine. Specifically it covers:

  • Extracting relevant features from industrial vibration timeseries data using the Diagnostic Feature Designer app
  • Anomaly detection using several statistical, machine learning, and deep learning techniques, including:
    • LSTM-based autoencoders
    • One-class SVM
    • Isolation forest
    • Robust covariance and Mahalanobis distance

Setup

This demo is implemented as a MATLAB® project and will require you to open the project to run it. The project will manage all paths and shortcuts you need.

To Run:

  1. Open the MATLAB Project AnomalyDetection.prj
  2. Open Parts 1-3 on the Project Shortcuts tab

MathWorks® Products (http://www.mathworks.com)

Requires MATLAB® release R2021b or newer and:

License

The license for Industrial Machinery Anomaly Detection using an Autoencoder is available in the license.txt file in this GitHub repository.

Community Support

MATLAB Central

Copyright 2021 The MathWorks, Inc.

Citar como

Rachel Johnson (2023). Industrial Machinery Anomaly Detection (https://github.com/matlab-deep-learning/Industrial-Machinery-Anomaly-Detection), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2021a
Compatible con cualquier versión desde R2020b
Compatibilidad con las plataformas
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

No se pueden descargar versiones que utilicen la rama predeterminada de GitHub

Versión Publicado Notas de la versión
1.1.3

Renaming

1.1.2

Updated links

1.1.1

Renaming and minor edits

1.1

Improved visualizations and explanations

1.0.1

GitHub repository now located on matlab-deep-learning

1.0.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.