Case Study: Prague Public Transport Company extends escalator life with Neuron Soundware AI predictive maintenance

Neuron soundware extends the life of escalators in the Prague metro

The Prague Public Transport Company (DPP), in cooperation with Wiener Linien, sought a modern approach to predictive maintenance to extend the life of their metro escalators, reduce downtime, and improve maintenance efficiency. They partnered with vendor Neuron Soundware to implement its AI-powered acoustic and vibration analysis technology to monitor the equipment.

Neuron Soundware adapted its existing technology, fitting sensors on escalators to detect faults by analyzing sound signatures. Their neural network successfully identified issues such as foreign objects in the comb plate, lubricant leaks, and improper handle tension. The solution provided DPP with a tool for remote monitoring, enabling them to detect emerging faults early, plan service interventions, and prioritize maintenance activities, which is expected to extend escalator lifetime and reduce operational downtime.

Prague Public Transport Company