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Motor Diagnosis Based on 3-D Spherical Projected Point Cloud

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成果类型:
期刊论文
作者:
Long, Zhuo;Xu, Zhiyuan;Wu, Gongping;Deng, Feng;Sun, Meidi;...
通讯作者:
Wu, GP
作者机构:
[Xu, Zhiyuan; Huang, Zhiwen; Wu, Gongping; Long, Zhuo; Sun, Meidi; Deng, Feng; Feng, Wenshan; Wang, Ming-Hao] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha 410114, Peoples R China.
通讯机构:
[Wu, GP ] C
Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha 410114, Peoples R China.
语种:
英文
关键词:
Point cloud compression;Motors;Fault diagnosis;Three-dimensional displays;Vibrations;Sensors;Feature extraction;Mathematical models;Wind turbines;Spatial databases;3-D vibration sensors;motor diagnosis;signal processing;spherical projection (SP)
期刊:
IEEE Sensors Journal
ISSN:
1530-437X
年:
2025
卷:
25
期:
1
页码:
835-844
基金类别:
10.13039/501100001809-Natural Science Foundation of China (Grant Number: 52407037 and 62403077) Changsha Natural Science Foundation Youth Project (Grant Number: kq2402022) Natural Science Excellent Youth Fund of Hunan Provincial (Grant Number: 2024JJ4001) General Projects of the Hunan Provincial Education Department (Grant Number: 22C0138) Key Research and Development Program Project of Hunan Province (Grant Number: 2024JK2106)
机构署名:
本校为第一且通讯机构
院系归属:
电气与信息工程学院
摘要:
The frequent occurrence of motor faults has been a great disturbance to the development of production in various fields. Traditional fault diagnosis methods primarily use 1-D data or 2-D data. However, 3-D data hold significant promise for motor fault diagnosis due to its voluminous data and unique spatial information. This article aims to explore a motor fault diagnosis method leveraging 3-D data. Nonetheless, motor fault 3-D data exhibit the limitation of lacking geometric structure. To address this limitation, this article proposes a fault diagnosis method named SP-PointCNN. This method use...

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