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An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

Mechanical Systems and Signal Processing · 2019 · Vol. 122 · pp. 692–706
Bin YangYaguo LeiFeng JiaSaibo Xing
Machine Fault Diagnosis TechniquesMechanical Failure Analysis and SimulationOccupational Health and Safety ResearchFault (geology)Artificial intelligenceArtificial neural networkComputer scienceConvolutional neural networkTransfer of learningEngineeringControl engineeringMachine learning

Funding

  • National Natural Science Foundation of China
  • U.S. Bureau of Land Management
  • National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization
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