White Paper | Making Machines Smarter Through Machine Learning
Grant Gerke | April 25, 2017
A new white paper from the Industrial Internet Consortium (www.iiconsortium.org) , titled, “Making Factories Smarter Through Machine Learning,” offers a great read on how machine learning can allow for better edge analytics, reduce data streams and promote better data fidelity.
A passage from the White Paper below:
The other capability provided by the software is the ability to read complex sensors and perform pre-processing in terms of data reduction: For example, vibration is sampled at least two times the vibration frequency. In this case, a fast Fourier transform is performed and only the frequency of interest is stored. This is an area where there is high opportunity for more efficient processing – effectively using machine learning for pre-processing and feature selection.
Therefore, it (SoC) can sample each variable with smart criterions: For example, temperature may not be measured with the same frequency of vibration
The white paper provides a roadmap on moving beyond preventive to SoC machine learning.
Industrial Internet Consortium