Detecting corrugation defects in harbour railway networks using axle-box acceleration data

Sea- and inner ports are intermodal traffic nodes that play an important role in transportation, especially the transportation of goods. The appearance track defects a harbour railway network has negative impact on safety, cost comfort (for example due to noise emission). analysis data obtained by embedded acceleration sensors, which installed at axle box equipped in-service vehicle, allows for continuous condition monitoring infrastructure. German Aerospace Center (DLR) develops prototypical modular multi-sensor systems used different operational environments, including shunter locomotive operating industrial Braunschweig, Germany. Within HavenZuG research project, extensive rail longitudinal profile geometry measurements have been performed using established inspection methods obtain true underlying network. In present paper, gaining relevant information from axle-box (ABA) presented validated with given reference data. focus is detecting visible profile, mainly corrugation. It can be shown ABA gathered during everyday shunting operation corrugation inferring parameters.