Self-powered technologies for smart bearings

IF 6.3 3区 综合性期刊 Q1 Multidisciplinary
Fundamental Research Pub Date : 2026-09-01 Epub Date: 2025-04-19 DOI:10.1016/j.fmre.2025.04.007
Likun Gong, Zhi Zhang, Ruifei Luan, Yuan Feng, Mang Gao, Chi Zhang
{"title":"Self-powered technologies for smart bearings","authors":"Likun Gong,&nbsp;Zhi Zhang,&nbsp;Ruifei Luan,&nbsp;Yuan Feng,&nbsp;Mang Gao,&nbsp;Chi Zhang","doi":"10.1016/j.fmre.2025.04.007","DOIUrl":null,"url":null,"abstract":"<div><div>As industrial equipment becomes increasingly complex and efficient, smart bearings play a crucial role in monitoring the operating status of mechanical devices, improving efficiency, and extending service life. To achieve long-term stable operation of smart bearings and avoid the issues associated with replacing and maintaining traditional batteries, self-powered technologies have become a research hotspot in recent years. Self-powered smart bearings collect mechanical energy, vibrational energy, thermal energy, and other forms of energy from the surrounding environment and convert them into electrical energy, driving embedded sensors or functioning as self-powered sensors themselves. This enables real-time monitoring of bearing conditions and data transmission. Although significant progress has been made in self-powered technologies, comprehensive reviews that summarize self-powered technologies in the field of smart bearings and provide guidance for future development are still scarce. To fill this gap, this review summarizes five main energy harvesting methods for self-powered smart bearings: electromagnetic generation, piezoelectric generation, thermoelectric generation, triboelectric generation, and tribovoltaic generation technologies. By analyzing the principles, structures, and performances of each technology, this paper explores their applicability and potential in smart bearings and forecasts the future development direction of self-powered technologies for smart bearings. This review provides a reference for the design and application of smart bearings and promotes the widespread use of self-powered smart bearings in industrial equipment health management.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"6 5","pages":"Pages 3129-3146"},"PeriodicalIF":6.3000,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fundamental Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667325825002067","RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/19 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Multidisciplinary","Score":null,"Total":0}
引用次数: 0

Abstract

As industrial equipment becomes increasingly complex and efficient, smart bearings play a crucial role in monitoring the operating status of mechanical devices, improving efficiency, and extending service life. To achieve long-term stable operation of smart bearings and avoid the issues associated with replacing and maintaining traditional batteries, self-powered technologies have become a research hotspot in recent years. Self-powered smart bearings collect mechanical energy, vibrational energy, thermal energy, and other forms of energy from the surrounding environment and convert them into electrical energy, driving embedded sensors or functioning as self-powered sensors themselves. This enables real-time monitoring of bearing conditions and data transmission. Although significant progress has been made in self-powered technologies, comprehensive reviews that summarize self-powered technologies in the field of smart bearings and provide guidance for future development are still scarce. To fill this gap, this review summarizes five main energy harvesting methods for self-powered smart bearings: electromagnetic generation, piezoelectric generation, thermoelectric generation, triboelectric generation, and tribovoltaic generation technologies. By analyzing the principles, structures, and performances of each technology, this paper explores their applicability and potential in smart bearings and forecasts the future development direction of self-powered technologies for smart bearings. This review provides a reference for the design and application of smart bearings and promotes the widespread use of self-powered smart bearings in industrial equipment health management.
智能轴承的自供电技术
随着工业设备变得越来越复杂和高效,智能轴承在监测机械设备的运行状态,提高效率和延长使用寿命方面发挥着至关重要的作用。为了实现智能轴承的长期稳定运行,避免更换和维护传统电池带来的问题,自供电技术成为近年来的研究热点。自供电智能轴承从周围环境中收集机械能、振动能、热能和其他形式的能量,并将其转换为电能,驱动嵌入式传感器或充当自供电传感器本身。这使得实时监测轴承状况和数据传输成为可能。尽管在自供电技术方面取得了重大进展,但总结智能轴承领域自供电技术并为未来发展提供指导的全面综述仍然很少。为了填补这一空白,本文总结了自供电智能轴承的五种主要能量收集方法:电磁发电、压电发电、热电发电、摩擦发电和摩擦伏打发电技术。通过分析每种技术的原理、结构和性能,探讨其在智能轴承中的适用性和潜力,并预测智能轴承自供电技术的未来发展方向。本文综述为智能轴承的设计和应用提供了参考,促进了自供电智能轴承在工业设备健康管理中的广泛应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Fundamental Research
Fundamental Research Multidisciplinary-Multidisciplinary
CiteScore
4.00
自引率
1.60%
发文量
294
审稿时长
79 days
期刊介绍:
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书