RealityCheck™ Motor Toolbox

RealityCheck™ Motor is an add-on software toolbox that enables conditional monitoring and predictive maintenance functionality without relying on additional sensors. Rather, it uses electrical information from the motor control process as a proxy for vibration and other sensors. With its advanced signal processing and Machine Learning (ML) models, RealityCheck Motor is an add-on to Reality AI Tools^® software engineered to create algorithms that detect and classify small fluctuations and anomalies of various conditions like load, vibration and others. It then relates them to known conditions or failure modes and unknown anomalies.

With no external sensors required, RealityCheck Motor enables the detection of minute changes in system parameters that are indicative of anomalies and maintenance issues. This toolbox can be deployed on the endpoint for early detection of faults in a motor system, allowing for timely maintenance, reducing downtime and intensive repair costs.

RealityCheck Motor is designed to work seamlessly with Renesas MCUS, MPUs, and motor-driven applications, enabling hardware optimization and the creation of software models. This software toolbox along with Reality AI Tools software, provides a low-code automated machine learning platform for creating, validating, and deploying sensor classification or prediction models at scale in the targeted Renesas embedded devices of your choice.

By combining advanced signal processing and ML models with internal data, RealityCheck Motor allows for proactive maintenance, reducing the risk of cost-intensive failures and improving overall system reliability. With its ease of use and powerful capabilities, RealityCheck Motor is the perfect toolbox and add-on functionality for those looking to optimize their motor systems and ensure maximum efficiency and uptime.