Condition monitoring of wooden railway sleepers (2009)
Journal Article
Yella, S., Dougherty, M., & Gupta, N. K. (2009). Condition monitoring of wooden railway sleepers. Transportation Research Part C : Emerging Technologies, 17(1), 38-55. https://doi.org/10.1016/j.trc.2008.06.002

Wooden railway sleeper inspections in Sweden are currently performed manually by a human operator; such inspections are to large extent based on visual analysis. In this paper a machine vision based approach has been considered to emulate the visual... Read More about Condition monitoring of wooden railway sleepers.

Artificial intelligence techniques for the automatic interpretation of data from non-destructive testing (2006)
Journal Article
Yella, S., Dougherty, M. S., & Gupta, N. K. (2006). Artificial intelligence techniques for the automatic interpretation of data from non-destructive testing. Insight - Non-Destructive Testing & Condition Monitoring, 48(1), 10-20. https://doi.org/10.1784/insi.2006.48.1.10

This paper attempts to summarise the findings of a large
number of research papers deploying artificial intelligence
(AI) techniques for the automatic interpretation of data from non-destructive testing (NDT). Problems in the rail transport domain... Read More about Artificial intelligence techniques for the automatic interpretation of data from non-destructive testing.