Evidence map›Paper›PMID 42555188›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Sustained Self-Powered Real-Time Vibration Monitoring Through Integrated Nonlinear Harvesting and Energy-Aware Wireless Sensing.

Yizhou Li, Ye Zhang, Hao Tang, Yaozi Zheng, Yawei Wang, Chaoyang Zhao, Liwei Dong, Dewen Yu, Junlei Wang, Chunbo Lan and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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

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

1 citing paper in PubMed.

  1. 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

11 authors.

Yizhou LiThrust of Internet of Things, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, People's Republic of China.ORCID https://orcid.org/0009-0009-3977-9115
Ye ZhangThrust of Internet of Things, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, People's Republic of China.ORCID https://orcid.org/0009-0008-7316-1792
Hao TangThrust of Internet of Things, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, People's Republic of China.ORCID https://orcid.org/0009-0003-3162-1096
Yaozi ZhengThrust of Internet of Things, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, People's Republic of China.
Yawei WangThrust of Internet of Things, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, People's Republic of China.ORCID https://orcid.org/0000-0002-7041-030X
Chaoyang ZhaoSchool of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0009-0005-3896-6542
Liwei DongSchool of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0003-3675-0674
Dewen YuFrontier Institute of Science and Technology, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Junlei WangSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, People's Republic of China.ORCID https://orcid.org/0000-0003-4453-0946
Chunbo LanSchool of Renewable Energy, Hohai University, Nanjing, People's Republic of China.ORCID https://orcid.org/0000-0001-5959-0488
Guobiao HuThrust of Internet of Things, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, People's Republic of China.ORCID https://orcid.org/0000-0002-1288-7564

Funding

Funds of National Key Laboratory of Helicopter Aeromechanics 2024-CXPT-GF-JJ-093-04Guangdong Provincial Key Lab of Integrated Communication, Sensing and Computation for Ubiquitous Internet of Things 2023B1212010007Guangdong Provincial Project 2023QN10L545Guangzhou Municipal Key Laboratory on Future Networked Systems 024A03J0623National Natural Science Foundation of China 12572394National Natural Science Foundation of China 52305135
6 · The paper itself

Abstract

Continuous high-frequency data acquisition is critical for advanced structural monitoring and data-driven systems, yet remains limited by the insufficient energy budget of self-powered sensing. Existing solutions are largely confined to intermittent operation or low sampling rates, as sustained high-throughput sensing imposes prohibitive power demands. In this paper, we propose a full-stack self-powered sensing framework that overcomes this barrier via a synergistic electromechanical-circuit-sensing co-design. The system integrates a quasi-zero-stiffness (QZS) piezoelectric energy harvester (PEH) for efficient weak-excitation energy harvesting, a synchronous electric charge extraction (SECE) interface for impedance-decoupled energy extraction, and an energy-aware sensing module for efficient high-frequency operation. This integrated architecture enables sustained real-time waveform acquisition at a continuous sampling rate of approximately 48 Sa/s, achieving an unprecedented level of continuous high-frequency sensing compared to existing self-powered systems and far exceeding the limitations of intermittent operation. The system can operate using energy harvested from a single piezoelectric transducer, while maintaining stable performance over a frequency range of 6-8 Hz at a low excitation level of 0.14 g. By transforming self-powered sensing from discrete, low-rate measurements to continuous real-time monitoring, this work establishes a new paradigm for fully energy-autonomous sensing and lays the foundation for scalable, infrastructure-level deployment of intelligent monitoring systems.

Indexed as

energy‐aware operationhigh‐fidelity waveform reconstructionpiezoelectric energy harvestingquasi‐zero‐stiffnessreal‐time monitoringself‐powered sensing

Identifiers

PMID42555188
PMCPMC13440374

What OpenQuestion holds

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LicenceCC BY
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.