A cross-working-condition prediction method for bearing remaining useful life based on SPW-SVDD health indicators and temporal-self -attention mechanism
Zhao Yongxing, Ta Yuntian, Bi Ran, Tang Bo, Lu Zhengjie, Yan Yihong, Xie Jingsong, Guo Zhibin
Topics & Concepts
Computer scienceAdversarial systemAdaptabilityFeature (linguistics)Artificial intelligenceTransfer of learningData miningMachine learningDomain (mathematical analysis)Probabilistic logicMechanism (biology)Reliability (semiconductor)Construct (python library)Bearing (navigation)Health indicatorReliability engineeringDomain knowledgePerspective (graphical)Knowledge transferFeature vectorVariation (astronomy)EngineeringFeature selectionJoint (building)Feature extractionCondition monitoringFeature learningFrequency domainRobustness (evolution)Structural health monitoringTransfer (computing)Pattern recognition (psychology)Performance indicatorTerm (time)Machine Fault Diagnosis TechniquesOccupational Health and Safety ResearchReliability and Maintenance Optimization