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CITDG: A causality and information-theory inspired domain generalization method for machine remaining useful life prediction in unseen domains

Jie Shang, Danyang Xu, Xinyu Shang, Chao Zhao, Chen Jiang, Haobo Qiu, Liang Gao

2025Mechanical Systems and Signal Processing7 citationsDOI

Topics & Concepts

Artificial intelligenceGeneralizationComputer scienceDiscriminative modelMachine learningGeneralizability theoryCausal modelCausality (physics)Causal structureFeature (linguistics)Redundancy (engineering)Independence (probability theory)Feature learningRepresentation (politics)OverfittingProbabilistic logicDomain (mathematical analysis)Invariant (physics)Binary numberSubspace topologyPattern recognition (psychology)Robustness (evolution)Binary classificationLatent variableRegularization (linguistics)Black boxFeature selectionIdentifiabilityStatistical modelConsistency (knowledge bases)Variable (mathematics)Similarity (geometry)Feature extractionRelevance (law)Machine Fault Diagnosis TechniquesFault Detection and Control SystemsAnomaly Detection Techniques and Applications
CITDG: A causality and information-theory inspired domain generalization method for machine remaining useful life prediction in unseen domains | Litcius