Evidence map›Paper›PMID 42846556›Full record

ReviewFundamental research2026

Self-powered technologies for smart bearings.

Likun Gong, Zhi Zhang, Ruifei Luan, Yuan Feng, Mang Gao, Chi Zhang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Fundamental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Likun GongCAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Zhi ZhangCAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Ruifei LuanCAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Yuan FengCAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Mang GaoHunan Key Laboratory of Nanophotonics and Devices, School of Physics, Central South University, Changsha 410083, China.
Chi ZhangCAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

PiezoelectricSelf-poweredSmart bearingsTriboelectricTribovoltaic effect

Identifiers

PMID42846556
PMCPMC13644524

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.