Renesas AI-Powered MCU Detects Home Appliance Motor Defects
Renesas Electronics Corporation has introduced its Failure Detection e-AI Solution for motor-equipped home appliances, featuring the Renesas RX66T 32-bit microcontroller (MCU). This solution with embedded artificial intelligence (e-AI) enables failure detection of home appliances due to motor abnormality.
Property data showing the motor's current or rotation rate status can be used directly for abnormality detection, making it possible to implement both motor control and e-AI–based abnormality detection with a single MCU. Using the RX66T eliminates the need for additional sensors, thereby reducing a customer's bill of materials (BOM) cost.
Failure detection e-AI solution for motor-equipped home appliances featuring the Renesas RX66T 32-bit microcontroller
When a home appliance malfunctions, the motor operation typically appears abnormal when running and being monitored for fault detection in real-time. By implementing e-AI-based, motor control-based detection, the failure detection results can be applied not only to trigger alarms when a fault occurs, but also for preventive maintenance. This boosts the capability of home appliance manufacturers for maintenance operations efficiency and improve product safety.
The Renesas Failure Detection e-AI Solution for motor-equipped home appliances can control up to four motors because it utilizes the high-performance RX66T MCU.
"Leveraging its extensive expertise in developing solutions for use in home appliances, Renesas has now developed a solution capable of detecting failures that affect the system based on detecting abnormal motor operation," said Toru Moriya, Vice President of Home Business Division, Industrial Solutions Business Unit, at Renesas.