Developers: Smart Sensors II – How Adding AI Can Predict the Future for IIoT
In many industrial settings, determining the current health of assets still involves a technician putting their ear to a machine to detect any ominous sound deviations. What they hear may indicate something has gone wrong, or worse, they hear silence, conveying that the equipment has completely failed. This is considered a reactive maintenance model. In our blog post, Building Smarter Edge Computing Solutions with Smart Sensors, we introduced the intelligence of smart sensors used to report on an asset’s health and the utilization of threshold triggers for scheduled intervention. This is a preventive maintenance model.
This blog post looks at how a predictive maintenance model (PdM) comprising artificial intelligence (AI) at the edge within smart sensors, combined with advanced analytics, provides a way to evaluate an asset’s health through a prognostic lens…
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