Triboelectric Nanogenerator-Embedded Intelligent Self-Aligning Roller Bearing with the Capability of Self-Sensing, Monitoring, and Fault Diagnosis.

Hao Shen, Yufan Lv, Yun Kong, Qinkai Han, Ke Chen, Zhibo Geng, Mingming Dong, Fulei Chu

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

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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

1 citing paper in PubMed.

Self-aligning ball bearing fault classification using selective kernel modules in resnext architecture.Scientific reports · 2026
Article

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

8 authors.

Hao ShenSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID 0009-0009-8558-2399

Yufan LvSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Yun KongSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0002-0728-7206

Qinkai HanDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.

Ke ChenSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Zhibo GengSchool of Aeronautics and Astronautics, University of Electronic Science and technology of China, Chengdu 611731, China.ORCID 0000-0001-5468-6456

Mingming DongSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0001-8741-6954

Fulei ChuDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.

Funding

Beijing Institute of Technology Research Fund Program for Young Scholars 6120220226Hebei Natural Science Foundation E2023105039National Natural Science Foundation of China 52105108 and 52161135101State Key Laboratory of Mechanical Transmission for Advanced Equipment SKLMT-MSKFKT-202304Young Elite Scientists Sponsorship Program by Beijing Association for Science and Technology BYESS2024294Young Elite Scientists Sponsorship Program by CAST 2023QNRC001

6 · The paper itself

Abstract

Monitoring the dynamic behaviors of self-aligning roller bearings (SABs) is vital to guarantee the stability of various mechanical systems. This study presents a novel self-powered, intelligent, and self-aligning roller bearing (I-SAB) with which to monitor rotational speeds and bias angles; it also has an application in fault diagnosis. The designed I-SAB is compactly embedded with a novel sweep-type triboelectric nanogenerator (TENG). The TENG is realized within the proposed I-SAB using a comb-finger electrode pair and a flannelette triboelectric layer. A floating, sweeping, and freestanding mode is utilized, which can prevent collisions and considerably enhance the operational life of the embedded TENG. Experiments are subsequently conducted to optimize the output performance and sensing sensitivity of the proposed I-SAB. The results of a speed-sensing experiment show that the characteristic frequencies of triboelectric current and voltage signals are both perfectly proportional to the rotational speed, indicating that the designed I-SAB has the self-sensing capability for rotational speed. Additionally, as both the bias angle and rotational speed of the SAB increase, the envelope amplitudes of the triboelectric voltage signals generated by the I-SAB rise at a rate of 0.0057 V·deg

Indexed as

bias angle monitoringdeep learningfault diagnosisintelligent bearingspeed sensingtriboelectric nanogenerator

Identifiers

PMID39686155

DOI10.3390/s24237618

PMCPMC11644832

What OpenQuestion holds

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LicenceCC BY

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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.