An AI-Powered Predictive Maintenance Platform for Testing AV Components

Predictive maintenance is an important AI application, particularly for ensuring the reliability of autonomous vehicles. Each component must meet high standards, and OEMs (original equipment manufacturers) now require extensive testing to also guarantee durability. HL Mando is a long-time supplier of steering, brake, suspension, and autonomous driving sensors and actuators. They developed new test equipment for meticulously testing vehicle components and speeding up development, which they called the “connected and AI-based web platform for maintenance.” This platform helps prevent mechanical fractures, electronics malfunctions, and anomalies in rotating machinery by simulating control system behavior with various parameters.  To effectively monitor equipment states and detect anomalies or defects, a significant amount of data was collected over time and used to train deep learning models. The collected data set was expanded with twin simulations using Simscape™. By leveraging MATLAB Production Server™ and MATLAB^® tools for AI, HL Mando developed a powerful and efficient platform for equipment maintenance, resulting in significantly reducing costs, manpower, and time required for maintenance.