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IoT + AI Powered Solution for Guaranteed More than 95% Accurate Fault Diagnosis and at Least 10% Reduction in Machine's Annual Energy Consumption

by Sunil Vedula, Nanoprecise Sci Corp

An IoT + AI based technology framework for guaranteed more than 95% accuracy on fault diagnosis and reduce your machine's energy consumption/annum by at least 10%.

Learning takeaways:

  1. Electric motor driven equipment consumes almost 50% of world's electricity. Thus, a 5-10% improvement in efficiency due to proper maintenance at the right time on an appropriate equipment can make a big impact for both the machinery owner and the environment.
  2. Stray magnetic flux monitoring is a new and upcoming condition monitoring technique that can provide much more info than a typical Motor Current Signature Analysis (MCSA).
  3. Condition monitoring and energy efficiency go hand in hand for rotating equipment. It's not "either or" but rather "and" is the term to be used when using condition monitoring and energy efficiency in the context of rotating machinery.

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