Rail Point Diagnostics
Year2023
CategoryResearch & R&D
Client/PartnerPT. Kereta Api Indonesia (KAI)
Overview
Vibration-based predictive maintenance prototype for PT. KAI railway switching point machines. High-frequency accelerometer data feeds a ThingsBoard dashboard for early detection of mechanical wear before signaling failures occur.
Key Features
- •Vibration-based wear detection for point machines
- •High-frequency capture for mechanical fatigue analysis
- •Real-time diagnostic dashboard via ThingsBoard
- •Prevents signaling failures before they cause incidents
Tech & Tools
ESP32AccelerometerMQTTThingsBoardNode-RED