g2sys

Application to a hydraulic rig system (Zema).


This is an introductory usecase for the g2sys GUI.

This first dataset is used to introduce the different options available in the user-friendly tool g2sys. In the movie representing the other use-cases, it is assumed that the user is familiar with these options which makes this movie a must-to-see!

Zema Dataset
This is a public dataset that is available at UC Irvine Machine Learning Repository.

The dataset addresses the condition assessment of a hydraulic test rig based on multi-sensors data.

Four fault types are superimposed with several severity grades impeding selective quantification.

| 7 sensors | 255,420 rows |

Detecting invariants and anomalies in a hydraulic systems. (The above AI-generated photo is used for illustrative purpose and is not directly related to the dataset.)