image thumbnail

Autoencoder-based anomaly detection for sensor data

version 1.1 (547 KB) by Antti
Demo that shows how to use auto-encoders to detect anomalies in sensor data

403 Downloads

Updated 3 Jul 2020

From GitHub

View License on GitHub

This demo highlights how one can use an unsupervised machine learning technique based on an autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how a trained auto-encoder can be deployed on an embedded system through automatic code generation. The advantage of auto-encoders is that they can be trained to detect anomalies with data representing normal operation, i.e. you don't need data from failures.

Cite As

Antti (2022). Autoencoder-based anomaly detection for sensor data (https://github.com/aloytyno/Autoencoder-based-anomaly-detection-for-sensor-data/releases/tag/1.1), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with R2015b to R2020a
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

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

Start Hunting!
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.