Motor Overheating 64df805a96a1e

AI can predict motor overheating without thermal model

Aug. 18, 2023
Algorithms using digital twins can leverage long short-term memory to see the future

Use of artificial intelligence (AI) in digital twins can help to analyze large amounts of data. These activities can be used to model system performance, asset interoperability, equipment wear and maintenance and visualization. Even energy consumption can be monitored and predicted with AI's algorithms.

The list goes on and on.

Long short-term memory (LSTM), for example, can be used to forecast asset behavior, such as a motor's overheating, without requiring a thermal model.

In this article from partner publication Automation World, DataArt's Max Ivannikov describes the new frontier of AI applications in industrial settings.

Sponsored Recommendations

Automation technology continues to advance the capabilities of packaging equipment.This new State of Technology Report from the editors of Control Design covers the ways packaging...
Protecting processes from explosive risks is a matter of life and property. Ensure electrical safety in hazardous locations by installing solutions certified to IEC and NEC standards...
Transform your machine's safety system. Discover how to upgrade with configurable products, scalable designs, and simplified wiring for improved diagnostics and long-term reliability...
Unlock the benefits of ASi with our Engineer’s Guide: Learn how to reduce wiring, cut costs, and improve flexibility in your automation systems.