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Signal-to-Signal Translation for Fault Diagnosis of Bearings and Gears With Few Fault Samples

  • Published:2021 Issue: Volume:70 Page:1-10
  • ISSN:0018-9456
  • Container-title:IEEE Transactions on Instrumentation and Measurement
  • language:
  • Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhao BainingORCID,Niu ZhewenORCID,Liang QihengORCID,Xin YanliORCID,Qian TongORCID,Tang WenhuORCID,Wu Qinghua

Funder

National Key Research and Development Program of China

Science and Technology Project of State Grid Corporation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Small data challenges for intelligent prognostics and health management: a review;Artificial Intelligence Review;2024-07-23

2. Fault diagnosis of power equipment based on variational autoencoder and semi‐supervised learning;Concurrency and Computation: Practice and Experience;2024-06-12

3. Bearing Compound Fault Diagnosis Using Energy-Constrained Swarm Decomposition and Adaptive Spectral Amplitude Modulation;IEEE Sensors Journal;2024-06-01

4. Fault Diagnosis of Bearings Using MSCPCNN with Limited Samples;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29

5. A zero-shot fault attribute transfer learning method for compound fault diagnosis of power circuit breakers;Measurement Science and Technology;2024-02-15
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