Predictive maintenance of power assets

Know which asset will fail before it happens.

 

A powerful health index

Energiot has a health index model based on benchmarks, parameters, and machine learning to determine the reliability of each asset.

 

Receive alarm notification

When an asset has an unexpected behavior or fails, receive a real-time notification on your platform, email, or SMS.

 

Avoid recurrent manual inspections

Use condition-based maintenance instead of dispatching a maintenance team to analyze any grid asset.

 

Model-based on multi parameters

For each asset, combine historical data and benchmarks with different real-time parameters such as current, magnetic field, voltage, temperature, humidity, radiation, and others.

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