Finding Correlations

Papad

Hello everyone,
I want to make a flow in order to find correlations between some attributes of a machine.
The attributes are like speed, pressure, alarms etc. 
How can I do it?
Also, suppose that I have live data. If I use historical data like all these, is it possible to create a neutral network 
in order to find the next alarms in the future?
Any ideas for other kind of modeling are welcome.
Thanks in advance.

varunm1

Hello @Papad

There is a correlation matrix operator that will provide us with the correlation between different attributes in a dataset.

Coming to the neural network, you can train the network on historical data and feed the live data to make predictions.

Please inform if you need more information.

Thanks

varunm1

Hello @Papad

There is a correlation matrix operator that will provide us with the correlation between different attributes in a dataset.

Coming to the neural network, you can train the network on historical data and feed the live data to make predictions.

Please inform if you need more information.

Thanks

lionelderkrikor

Hi @Papad,

A good starting point, if you want to perform some predictive maintenance, is the process :  
"Predictive Maintenance on Turbofan engines" in the "Community Samples" / "Community Real Worls Use Cases".

Regards,

Lionel