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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

Documentation