Case Study: Olympia Odos achieves zero unplanned tunnel closures with Ex Machina’s predictive maintenance platform

Olympia Odos eliminates unplanned tunnel closures with Ex Machina

Olympia Odos faced the challenge of maintaining its motorway tunnels, where equipment failures could force costly and dangerous unplanned closures. Traditional scheduled maintenance was inefficient, often replacing parts too early or too late. Ex Machina was engaged to implement a predictive maintenance solution using IoT sensors and machine learning.

Ex Machina deployed a comprehensive system using vibration, temperature, airflow, and power sensors connected via a Wi-Fi mesh network. Their ML-based anomaly detection platform learned normal equipment behavior to identify early signs of failure. This solution achieved zero unplanned tunnel closures, shifted maintenance to a condition-based model, and extended equipment lifespan for Olympia Odos.

Olympia Odos