Litcius/Paper detail

Data-driven track geometry fault localisation using unsupervised machine learning

K. Popov, R. De Bold, Haojiang Chai, M. C. Forde, Carlton L. Ho, James P. Hyslip, Hamed Faghihi Kashani, Richard Kelly, S.S. Hsu, M. Rippin

2023Construction and Building Materials12 citationsDOI

Topics & Concepts

BallastTrack geometryTrack (disk drive)AutoencoderCluster analysisUnsupervised learningComputer scienceArtificial intelligencePipeline (software)TroubleshootingSettlement (finance)Fault (geology)Computer visionEngineeringDeep learningGeologyWorld Wide WebOperating systemProgramming languageElectrical engineeringSeismologyPaymentRailway Engineering and DynamicsInfrastructure Maintenance and MonitoringTunneling and Rock Mechanics
Data-driven track geometry fault localisation using unsupervised machine learning | Litcius