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.
Programmable logic controllers (PLCs) and programmable automation controllers (PACs) provide viable options for machine control. This Control Design collection explains the differences...
Motion control engineers tend to focus on torque and speed specifications during the design process, but often fail to notice the unique features that differentiate a high-quality...
This white paper describes advantages of using advanced angle sensor technologies and focuses on best practices for correctly implementing non-contact and touchless angle sensors...