Predictive Maintenance with Databricks and AI

Railroad organizations today face increasing pressure to improve on-time performance, reduce equipment downtime, and optimize maintenance operations. Traditional approaches rely on reactive or scheduled maintenance, which often leads to unnecessary costs, service interruptions, and inefficient use of resources.

This whitepaper presents a Proof of Concept (POC) conducted by Allwyn using the Databricks Lakehouse Platform integrated with AWS S3. The POC showcases how machine learning (ML) and artificial intelligence (AI) can enable predictive maintenance across the railroad’s equipment fleet. By ingesting and analyzing telemetry, maintenance, and error datasets, the team demonstrated accurate availability calculations, proactive maintenance insights, and predictive model ing for equipment health.