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Contrastive and self-supervised learning for open-set damage classification in structural health monitoring with incomplete and imbalanced vibration data

Sheng Shi, Dongsheng Du, Oya Mercan, Erol Kalkan, Jafarali Parol

2025Expert Systems with Applications8 citationsDOI

Topics & Concepts

Computer scienceStructural health monitoringArtificial intelligenceSet (abstract data type)Machine learningOpen setData setVibrationSupervised learningPattern recognition (psychology)Structural engineeringMathematicsArtificial neural networkEngineeringDiscrete mathematicsProgramming languagePhysicsQuantum mechanicsStructural Health Monitoring TechniquesInfrastructure Maintenance and MonitoringMachine Fault Diagnosis Techniques
Contrastive and self-supervised learning for open-set damage classification in structural health monitoring with incomplete and imbalanced vibration data | Litcius