In its earliest form, technicians manually took condition status readings from individual pieces of equipment and used them to shape maintenance conclusions.
Today, critical machine and system data can be streamed continuously, automatically, from industrial internet of things (IIoT) sensors for real-time analytics, diagnostics, and suggested actions.
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- Source: https://semiengineering.com/risks-and-faults-we-can-detect-using-machine-learning-and-physics/
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