MD 141 AI-Driven Electrical Waveform Analysis with Simon Jagers of Semiotic Labs
Could there be unique signatures in your AC motor’s voltage and current measurements that could detect potential failures sooner and more reliable than traditional technologies?
In this week’s episode of Technology Innovation, a Maintenance Disrupted Podcast series, we welcome Simon Jagers, Technology enthusiast & founder of Semiotic Labs. The team at Semiotic labs are using MCA and voltage signals combined with AI to detect and uncover those unique failure signatures in your rotating equipment.
If you have been curious about or have been doing MCA for your rotating equipment health, this is a must-listen!
Connect with our guests here:
Simon Jagers: https://www.linkedin.com/in/simonjagers/
Semiotic Labs: https://www.semioticlabs.com/
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Music: The Descent by Kevin MacLeod
Link: https://incompetech.filmmusic.io/song/4490-the-descent
License: http://creativecommons.org/licenses/by/4.0/
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