Intelligent predictive maintenance platforms exemplify this approach by integrating telemetry data and machine learning algorithms to predict the serviceable lifetime of critical components. “Imagine ...

Members pictured from left to right. The concept of predictive maintenance is familiar to anyone who has owned a car—you regularly have the vehicle inspected, change fluids, replace tires, change ...

Carmakers are turning to predictive and preventive maintenance to improve the safety and reliability of increasingly electrified vehicles, setting the stage for more internal and external sensors, and ...

In today’s automotive landscape, the integration of advanced software and hardware has transformed vehicles into complex data-driven machines. Sensors like cameras, radars, and lidars constantly ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...