This presentation introduces two complementary algorithms for detecting tire pressure-related failures: leak detection and rapid air loss detection. The leak detection system leverages direct TPMS data with temperature compensation and regression analysis to identify gradual leaks and enable predictive maintenance. In contrast, the rapid air loss detection algorithm analyzes vehicle dynamics to recognize sudden pressure drops in real time – where immediate response is essential. Together, these independent yet synergistic modules enhance tire health monitoring and vehicle safety, representing an important step toward reliable, data-driven tire intelligence systems.

• Understand the differences between leak and rapid air loss detection mechanisms.
• Learn how temperature-compensated regression improves TPMS-based leak detection accuracy.
• Explore real-time vehicle dynamics analysis for rapid air loss identification.
• Gain insights into predictive maintenance enabled by continuous tire condition monitoring.
• Discover how independent modules enhance reliability and system scalability in tire monitoring solutions.