Authors
Hongyong Yu, Yawei Wang, Hengxu Du, Ziyue Xi, Yizhou Li, Yaozi Zheng, Jixiang Chen, Quanke Su, Guobiao Hu, Taili Du, Minyi Xu
Published in
Science advances. Volume 12. Issue 34. Pages eaeh0436. Aug 21, 2026. Epub Aug 21, 2026.
Abstract
High-fidelity sensing remains highly challenging in self-powered systems, as the limited power of energy harvesters constrains data acquisition and transmission. In this work, we present a wireless, intelligent, self-powered environmental node (WISE-Node) that simultaneously harvests energy and collects sensing information from ambient vibrations. Its multi-contact triboelectric vibration energy harvester (MC-TVEH) achieves an ultra-wide bandwidth of 10-300 Hz, delivering peak and RMS power densities of 13.42 kW/m3and 1.73 kW/m3, respectively. The WISE-Node also functions as a broadband sensor, accurately tracking excitation frequencies via FFT analysis (R2 = 0.9997 across 3-10,000 Hz). Using a Random Forest classifier on the acquired data, the WISE-Node identifies flange conditions with 99.38% accuracy. Field tests on marine engines and generators validate its robust performance, achieving a cold start in just 28.8 s and maintaining fully self-powered 1000 Hz sampling and stable wireless transmission. These results highlight the proposed WISE-Node's strong potential for self-sustained high-fidelity sensing, thereby advancing next-generation battery-free industrial IoT and digital twin technologies.
PMID:
42627924
Bibliographic data and abstract were imported from PubMed on 22 Aug 2026.
Read full publication at:
Please sign in
to see all details.
Advertisement
Stats
- Recommendations n/a n/a positive of 0 vote(s)
- Views 43
- Comments 0