USE CASE

Transport

Railway point systems

Context

Railways point systems’ command signal delivers critical information on system’s health and reveals defects and aging phenomena.

Need

Electric current from the railway point system activator is captured. A dataset is available describing healthy and faulty behaviours. Need is to build a model that automatically detects faulty behaviour to raise an alert to maintenance operators.

Solution

DiagFit was used to build a predictive model to alert on faulty behavior. Both supervised and unsupervised (without faulty data) learning were possible.

Results