Our client is a leading operator in the North American railroad industry with a fleet of 200,000+ railcars. The client had WILD (Wheel Impact Load Detector) System – a wayside sensor that detects faulty wheels. Flooding, weather, or mechanical failure can cause faults in these detectors. A faulty detector could cause the removal of 200-500 healthy wheels, resulting in unnecessary repair expenses.

Hence, the client wanted to:

• Build a wheel health monitoring system for WILD detectors
• Develop an interactive tool for early identification of faulty detectors
• Develop a reporting system for periodic review of detectors

• Large data volume – 100GB data over a 3-year period
• Seasonal variations in traffic and weather patterns pose estimation challenges
• Solution integration with existing infrastructure for quick and actionable results