Publication
details
Analytics for wayside-detector data in Sweden and Norway – Useful for LKAB’s work in preventive maintenance
Authors
Robert Pallari & Jesper Westerberg
Published date
2019
Venue/publisher
International Heavy Haul Association (IHHA) Conference 2019, Narvik, Norway
Keywords
Wayside detectors, Condition monitoring, Wheel wear, Hot box, RFID identification, Bearing acoustics
Summary
The iron ore producer LKAB are dependent on the railway to efficiently transport their products to the harbors. This is done on the iron-ore line in the north part of Sweden and Norway, stretching from Luleå to Kiruna and Kiruna to Narvik. The railway in the area is equipped with multiple types of wayside detectors measuring various condition parameters on passing trains. By integrating and analyzing data from various data sources, the way of conducting maintenance can be shifted from corrective to preventive maintenance. This is done by adapting a cloud-based decision support tool to their maintenance process and information needs. By doing so a decrease in corrective maintenance action was achieved and the roles in the maintenance process has received decision support to help them in their everyday work based on analytics and integration of already existing data sources.
Citation
Pallari, R., & Westerberg, J. (2019). Analytics for wayside‑detector data in Sweden and Norway – Useful for LKAB’s work in preventive maintenance. In Proceedings of the International Heavy Haul Association (IHHA) Conference 2019, Narvik, Norway.
