RealPars, the leader in cutting-edge industrial education, and Edge Impulse, the best-in-class edge machine learning platform, have teamed up to provide insights into machine learning to the large automation community — how it works and where it can add value, especially in upcoming new innovations in automation.
With sensors, manufacturers and companies are able to eliminate unplanned downtime by implementing AI-based device algorithms that ensure the health and safety for each machine in their fleet by detecting when and where equipment degradation is happening.
Predictive maintenance includes functions like reducing downtime and breakdowns of machines by sensing abnormal vibrations, out-of-spec current draws, unusual torque in gears, and many other details that are often otherwise invisible and undetectable, causing inefficiencies or eventual machinery breakage.
Automation hardware i.e. PLCs are usually programmed in automation-specific coding languages; however, more and more manufacturers of automation equipment are coming up with new product lines which can run C++, leveraging that universal programming language for greatly increased flexibility. This is where everything starts for machine learning.
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Alongside RealPars, we will continue to bring insights, guidance, and opportunities for learning and implementing machine learning-based applications to manufacturing, allowing for increased efficiency and output. Stay tuned and contact us with any specific questions.Stay tuned