已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Comprehensive Review of Bearing Currents in Electrical Machines: Mechanisms, Impacts, and Mitigation Techniques

方位(导航) 工程类 环境科学 计算机科学 人工智能
作者
Tianyi Pei,Hengliang Zhang,Wei Hua,Fengyu Zhang
出处
期刊:Energies [Multidisciplinary Digital Publishing Institute]
卷期号:18 (3): 517-517 被引量:12
标识
DOI:10.3390/en18030517
摘要

The present paper deals with a review on bearing currents in electrical machines, with major emphasis on mechanisms, impacts, and mitigation strategies. High-frequency common-mode voltages from the inverter-driven system have been found to be the main reason for bearing current leading to motor bearing degradation and eventual failure. This paper deals with bearing currents—electrical discharge machining (EDM) currents, circulating bearing currents, and rotor-to-ground bearing currents—and the various methods of their generation and effects that are harmful to the bearings and lubricants of a motor. Mitigation techniques, among which the following have been taken into account, are studied in this context: the optimization of PWM modulation, and the use of shaft grounding brushes, insulated bearings, and passive or active filters. Finally, advantages, limitations, and implementation challenges are discussed. A review comparing three-phase and dual three-phase inverters showed that, due to the increased degree of freedom in modulation strategies, it is possible to eliminate common-mode voltages through active modulation techniques. Such added flexibility will reduce the risk of bearing currents effectively. It also highlights future research directions in bearing current suppression, including the development of multi-phase motor systems, real-time monitoring technologies with artificial intelligence, and the use of new insulation materials for the enhancement of bearing reliability. The results obtained should guide future research and engineering practices in suppressing bearing currents to improve motor durability with high performance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
开放香水发布了新的文献求助10
1秒前
元小夏发布了新的文献求助10
1秒前
1秒前
3秒前
4秒前
4秒前
grx发布了新的文献求助10
5秒前
jingutaimi完成签到,获得积分10
5秒前
科研通AI6.4应助猪猪hero采纳,获得10
5秒前
漂泊2025完成签到,获得积分10
6秒前
大个应助jermaine采纳,获得10
6秒前
8秒前
我是老大应助杨安琪采纳,获得10
8秒前
潇洒邴发布了新的文献求助10
8秒前
天真之云发布了新的文献求助10
8秒前
墨怡完成签到,获得积分10
9秒前
9秒前
11秒前
猪猪hero发布了新的文献求助10
11秒前
所所应助Henry采纳,获得10
12秒前
12秒前
15秒前
SciGPT应助喜悦的威采纳,获得10
16秒前
16秒前
美好的火发布了新的文献求助10
17秒前
万能图书馆应助Achhz采纳,获得10
17秒前
17秒前
17秒前
背后小土豆完成签到,获得积分20
17秒前
黄桃发布了新的文献求助10
18秒前
岂愈完成签到 ,获得积分10
19秒前
lulu完成签到 ,获得积分10
21秒前
猪猪hero发布了新的文献求助10
22秒前
22秒前
99668完成签到,获得积分0
23秒前
Q劫难发布了新的文献求助10
24秒前
奔跑少年发布了新的文献求助10
26秒前
搜集达人应助大胆的忆安采纳,获得10
27秒前
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
化工安全与环保 1000
Autoparametric Resonance in Mechanical Systems 1000
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7650596
求助须知:如何正确求助?哪些是违规求助? 9222354
关于积分的说明 19800862
捐赠科研通 7216169
什么是DOI,文献DOI怎么找? 3278411
关于科研通互助平台的介绍 2439200
邀请新用户注册赠送积分活动 2277091