ArticleMicrosystems & nanoengineering2024
A near-zero quiescent power breeze wake-up anemometer based on a rolling-bearing triboelectric nanogenerator.
Article in Microsystems & nanoengineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 21 citations in OpenAlex.
- A quasi-zero stiffness triboelectric vibration sensor for high-fidelity vibration characterization.Microsystems & nanoengineering · 2026Article
- Self-powered technologies for smart bearings.Fundamental research · 2026Review
- Self-Powered Bearing Sensing and Real-Time Fault Diagnosis Enabled by Non-Invasive Triboelectric Sensors and Edge AI Acceleration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Mechanically-triggered self-powered triboelectric sensor platform with arbitrary-to-constant mechanical input conversion.Microsystems & nanoengineering · 2026Article
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Authors and funding
7 authors at 4 institutions in 2 countries.
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Abstract
Wind sensors have always played an irreplaceable role in environmental information monitoring and are expected to operate with lower power consumption to extend service lifetime. Here, we propose a breeze wake-up anemometer (B-WA) based on a rolling-bearing triboelectric nanogenerator (RB-TENG) with extremely low static power. The B-WA consists of two RB-TENGs, a self-waking-up module (SWM), a signal processing module (SPM), and a wireless transmission unit. The two RB-TENGs are employed for system activation and wind-speed sensing. Once the ambient wind-speed exceeds 2 m/s, the wake TENG (W-TENG) and the SWM can wake up the system within 0.96 s. At the same time, the SPM starts to calculate the signal frequency from the measured TENG (M-TENG) to monitor the wind speed with a sensitivity of 9.45 Hz/(m/s). After the wind stops, the SWM can switch off the B-WA within 0.52 s to decrease the system energy loss. In quiescent on-duty mode, the operating power of the B-WA is less than 30 nW, which can greatly extend the service lifetime of the B-WA. By integrating triboelectric devices and rolling bearings, this work has realized an ultralow quiescent power and self-waked-up wireless wind-speed monitoring system, which has foreseeable applications in remote weather monitoring, IoT nodes, and so on.
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