On-track condition monitoring system for railway vehicle using prediction by big data analytics of running records
On-track condition monitoring system is installed to monitor the wheel load and lateral force of railway vehicle. An early detection system of railway vehicle abnormality utilizing the on-track condition monitoring system, which was established as a countermeasure for the derailment accidents caused by wheel load unbalance, is under construction. Data variation from the system becomes an obstacle in constructing the early detection system of railway vehicle abnormality. In this paper, a method to support detection of railway vehicle abnormality, to add vehicle inspection information and track inspection information inside big data processing is introduced.