# Health Monitoring

The **Health Monitoring** module aims to automatically recognize anomalous behaviors of machine components/stations and production lines through a software that uses machine learning algorithms to process data and evaluate their conditions.&#x20;

For further details on the implementation of this system, please refer to the [Health Monitoring - How to](https://40factory.gitbook.io/mat-webapp-1/2.15.2/how-to/health-monitoring-how-to) section in the glossary.&#x20;

The home page provides an overview of the health status of different machine components/stations and connected production lines.&#x20;

By selecting the unit to investigate, different subsections are enabled, as described below.

<figure><img src="https://content.gitbook.com/content/Km6KeOXxgBCzdBOUpMRH/blobs/NckruJlPTT8WHMsxqOqq/hm-.png" alt=""><figcaption></figcaption></figure>

<div><figure><img src="https://content.gitbook.com/content/Km6KeOXxgBCzdBOUpMRH/blobs/RYcAKvp5wYbyQOIqDB9Z/hm-filter.png" alt=""><figcaption></figcaption></figure> <figure><img src="https://content.gitbook.com/content/Km6KeOXxgBCzdBOUpMRH/blobs/X36A6nIej1n3cgR7zx09/hm-filter-time.png" alt=""><figcaption></figcaption></figure></div>
