Self-powered technologies for smart bearings

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.

Authors

Institutions

Publication Details

Journal
Fundamental Research
Published
2025-04-01
DOI
https://doi.org/10.1016/j.fmre.2025.04.007
Citations
5
Primary Topic
Adhesion, Friction, and Surface Interactions
Type
article
Field-Weighted Citation Impact
4.32

Funders

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article

Self-powered technologies for smart bearings

Likun Gong, Mang Gao, Ruifei Luan, Zhi Zhang et al.
5 citations
Fundamental Research
Adhesion, Friction, and Surface Interactions
4.32
article

Self-powered technologies for smart bearings

Likun Gong, Mang Gao, Ruifei Luan, Zhi Zhang, Chi Zhang, Yuan Feng
article en
5 citations

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.

Fundamental Research
Central South University (CN), Guangxi University (CN), Chinese Academy of Sciences (CN), Beijing Institute of Nanoenergy and Nanosystems (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 6%
Adhesion, Friction, and Surface Interactions
4.32
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