Autoencoder-based anomaly detection for sensor data

版本 1.1 (547.3 KB) 作者: Antti
Demo that shows how to use auto-encoders to detect anomalies in sensor data
601.0 次下载
更新时间 2020/7/3

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.

引用格式

Antti (2024). Autoencoder-based anomaly detection for sensor data (https://github.com/aloytyno/Autoencoder-based-anomaly-detection-for-sensor-data/releases/tag/1.1), GitHub. 检索来源 .

MATLAB 版本兼容性
创建方式 R2020a
兼容 R2015b 到 R2020a 的版本
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版本 已发布 发行说明
1.1

See release notes for this release on GitHub: https://github.com/aloytyno/Autoencoder-based-anomaly-detection-for-sensor-data/releases/tag/1.1

1.0

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要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库