"Multigrained Hybrid Neural Network for Rotating Machinery Fault Diagnosis ..."

Zhenkun Yang et al. (2023)

> Home

Details and statistics

DOI: 10.1109/TIM.2023.3301888

access: closed

type: Journal Article

metadata version: 2025-01-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tim/YangHLLCZ23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tim/YangHLLCZ23
Zhenkun Yang, Bin He, Gang Li, Ping Lu, Bin Cheng, Pengpeng Zhang:
Multigrained Hybrid Neural Network for Rotating Machinery Fault Diagnosis Using Joint Local and Global Information. IEEE Trans. Instrum. Meas. 72: 1-13 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.