Fusing expert knowledge with monitoring data for condition assessment of railway welds

HIGHLIGHTS

• who: Cyprien Hoelzl and colleagues from the Department of Civil, Environmental and Geomatic Engineering, ETH Zu00fcrich, Stefano-Franscini Platz, Zu00fcrich, Switzerland have published the research work: Fusing Expert Knowledge with Monitoring Data for Condition Assessment of Railway Welds, in the Journal: Sensors 2023, 23, 2672. of /2023/
• what: The authors use expert feedback as a complementary information source which allows the narrowing down of these uncertainties and ultimately refines assessment. The authors propose a framework which exploits labeling of rail infrastructure defects on the basis of expert evaluation on outliers in ABA data, acquired from . . .
  

   

  

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