Renesas RA Family Motor Failure Detection Example by TensorFlow for RA6T1
■In this example, the maintenance discipline has been realized and implemented by involving a simple use case that is able to detect an abnormal state within the system behavior as a potential failure. Implemented e-AI algorithm (based on TensorFlow) discovers a failure due to an abnormal load condition of the motor. The abnormal load condition is detected by monitoring the current and rotation speed by a so-called inference model representing a trained neural network. Using only a single MCU (RA6T1), the motor control and fault detection algorithm are run simultaneously.
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Application note & Design Guide |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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Mar.5.2021 |
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Revision 1.00 |
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4.1 MB |
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