Finding Correlations
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.
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.
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New Altair Community Member
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
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
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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
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
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