Intelligent Detection of Motor Fault Based on RA6T1 and AI Technology

Gu Chenyu

Integrated Circuits and Embedded Systems ›› 2022, Vol. 22 ›› Issue (9) : 18-21.

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Integrated Circuits and Embedded Systems ›› 2022, Vol. 22 ›› Issue (9) : 18-21.
TECHNOLOGY TOPIC

Intelligent Detection of Motor Fault Based on RA6T1 and AI Technology

  • Gu Chenyu
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Abstract

This solution implements motor abnormal detection based on AI inference embedded in Renesas MCU RA6T1,along with Renesas e-AI toolkit,which helps to translate TensorFlow Lite from Google to accelerator on MCU.This is the base for factory automation predictive maintenance where motor monitoring is the major task to resolve.

Key words

Renesas motor control MCU / RA6T1 / embedded AI / motor predictive maintainer

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Gu Chenyu. Intelligent Detection of Motor Fault Based on RA6T1 and AI Technology[J]. Integrated Circuits and Embedded Systems. 2022, 22(9): 18-21

References

[1] 瑞萨电子.RA6T1 Motor Failure Detection Example by TensorFlow Lite for Microcontroller(R01AN5636EJ0100 Rev.1.00), 2020.
[2] 瑞萨电子.Motor Control Evaluation System for RA Family User's Manual (R12UZ0078EJ0120 Rev 1.20),2011.
[3] 瑞萨电子.Renesas RA6T1 Group User's Manual (R01UH0897 EU0110 Rev.1.10),2020.
[4] 瑞萨电子.E-AI translator V2.2.0用户手册(R20UT4135EJ0900 Rev.9.00),2020.
[5] 瑞萨电子.What is Renesas' e-AI Solution?[EB/OL].[2022-06]. https://www2.renesas.cn/jp/en/application/key-technology/artificial-intelligence/about-e-ai.
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