Federal award (DEFINITIVE CONTRACT, fiscal year 2021)
Recipient: UNIVERSITY OF UTAH
Awarding agency: Department of Transportation / Federal Railroad Administration
Funding agency: Department of Transportation / Federal Railroad Administration
Period of performance: 2020-06-16 to 2022-06-30
Current total value of award: $179948
Description: THE OBJECTIVE OF THIS PROJECT IS TO COMPLETE A FEASIBILITY STUDY ON A NOVEL MACHINE LEARNING FRAMEWORK BASED ON ANOMALY DETECTION APPLIED TO ULTRASONIC RAIL DEFECT DETECTION. THE WORK WILL EXAMINE AUTOENCODERS AS A TOOL TO CLASSIFY RAIL INSPECTION DA