Automatically measures and assesses the condition of rolling stock components (wheels, brakes, trucks/bogies, and couplers) to support condition-based maintenance and rail safety programs.
Railways need accurate, frequent measurement of critical vehicle components to plan maintenance and prevent in-service failures, but manual inspection is slow and inconsistent.
KLD Labs, an ENSCO company, combines automated wayside and portable measurement systems with an analysis database to assess wheel, brake, bogie, and coupler condition across the fleet.
Wayside and portable systems capture measurements and imagery of passing or shopped vehicles, apply machine-vision and AI-based processing to quantify component condition, and deliver results to an analysis database for fleet-wide review and maintenance planning.
Vendor documentation: link 1 · vendor website
Evidence level: L2 · Documented: how evidence levels work
Measures passing rolling stock without removing vehicles from service.
Captures wheel wear geometry and flags out-of-tolerance wheelsets.
Evaluates brake components, trucks and bogies, and couplers from imaging systems.
Applies machine vision, neural networks, and AI-based image processing to detect component conditions.
Provides fixed wayside stations and portable measurement tools for shop use.
Consolidates measurements in an analysis database for fleet-wide trend and degradation tracking.
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