Home Journals Articles Updates About
CN
image
收藏切换
Analysis of Bearing Vibration Measuring Points Based on Locally Linear Embedding Algorithm
收藏切换
PDF
Ya LUO1, Ke-ke GE2, Xiao-wen YUAN2, Hao WANG2, Yi-bin HUANG2, Wen-bing TU2, *
Science Technology and Engineering | 2025, 25(6) : 2356 - 2363
Less
收藏切换
Science Technology and Engineering | 2025, 25(6): 2356-2363
• Papers·Mechanical and Instrumental Industry •
Analysis of Bearing Vibration Measuring Points Based on Locally Linear Embedding Algorithm
Full
Ya LUO1, Ke-ke GE2, Xiao-wen YUAN2, Hao WANG2, Yi-bin HUANG2, Wen-bing TU2, *
Affiliations
  • 1 State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure, East China Jiao Tong University, Nanchang 330013, China
  • 2 School of Mechatronic and Vehicle Engineering, East China Jiao Tong University, Nanchang 330013, China
Published: 2025-02-28 doi: 10.12404/j.issn.1671-1815.2401445
Outline
收藏切换

In order to solve the problem of difficulty in determining the optimal measurement points for bearing signal acquisition. Taking the NU306 bearing-housing system as the research object, the bearing housing to carry out multi-measurement points vibration test experiment. The local linear embedding algorithm was used to linearly reduce the multi-dimensional space data of the bearings to obtain the sensitivity matrix of the measurement point. The optimal position of the measuring point under varying load and rotation speed was studied when the inner or outer ring are defective. The results show that for bearings with outer ring failures, the optimal measurement point is the one closest to the location of the failure when the load or rotational speed increases. For bearings with inner ring failures, the optimal measurement point is the one at lower loads far from the center of the housing when the load or rotational speed increases. The results can provide an effective reference for the selection of measurement points under different operating conditions.

rolling bearing  /  locally linear embedding  /  sensitivity  /  measurement point selection
Ya LUO, Ke-ke GE, Xiao-wen YUAN, Hao WANG, Yi-bin HUANG, Wen-bing TU. Analysis of Bearing Vibration Measuring Points Based on Locally Linear Embedding Algorithm[J]. Science Technology and Engineering, 2025 , 25 (6) : 2356 -2363 . DOI: 10.12404/j.issn.1671-1815.2401445
Appendix
Less
Year 2025 volume 25 Issue 6
PDF
410
158
Cite this Article
BibTeX
Article Info
doi: 10.12404/j.issn.1671-1815.2401445
  • Receive Date：2024-03-04
  • Online Date：2025-07-27
  • Published：2025-02-28
Article Data
Affiliations
History
  • Received：2024-03-04
  • Revised：2024-11-29
Funding
Affiliations
    1 State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure, East China Jiao Tong University, Nanchang 330013, China
    2 School of Mechatronic and Vehicle Engineering, East China Jiao Tong University, Nanchang 330013, China
References
Share
https://castjournals.cast.org.cn/joweb/kxjsygc/EN/10.12404/j.issn.1671-1815.2401445
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House