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Developing high-performance triboelectric nanogenerators (HP-TENGs) is paramount for expanding their commercial utility. Presently, HP-TENGs predominantly concentrate on augmenting surface charge density. Here, we introduce an innovative strategy, denoted ACT-TENG (Accelerated Charge Transfer TENG), which markedly enhances TENG's performance by effectively accelerating charge transfer between materials, all while preserving the original charge density. We substantiate the feasibility of this approach through systematic investigations, employing magnetic field modulation and bidirectional rotation mode to verify the gain effect of ACT-TENG. Notably, compared to conventional free-standing TENG (FS-TENG), ACT-TENG achieves a 4-fold increase in charge transfer rate and a remarkable 14.6-fold enhancement in output power. This leads to an impressive average power density of 499.05mWm-² Hz-¹, showcasing superior performance compared to previously reported FS-TENG designs. Furthermore, ACT-TENG exhibits exceptional characteristics when deployed in a water flow environment, generating the power of 10.76mW at a flow rate of 180Lmin-1. Finally, we utilize ACT-TENG to harvest energy from water flow, constructing a self-powered Internet of Things (IoT) system within the underground pipeline gallery. This study addresses existing limitations in TENG technology and offers valuable insights into further advancements in enhancing TENG's performance.

Rolling bearing is the core component of rotating machinery and its operation status greatly affects the stability of equipment. In this paper, a non-contact triboelectric bearing sensor (NC-TEBS) was proposed for monitoring the speed and skidding of rolling bearing. The NC-TEBS adopts the coupling electrode structure of non-contact induction and sweeping. It is composed of PTFE ring, grid electrode, and sweeping charge supplement device. The charge supplement device can increase the surface charge density and ensure the strength of the output signal. When the bearing runs, the PTFE ring rotates with the cage and moves relative to the grid electrode, generating periodic electrical signals via electrostatic induction. The bearing speed can be monitored in low-speed conditions, while the bearing skidding rate can be monitored in high-speed and light-load conditions. The experimental results have shown that the NC-TEBS has an ultra-wide working speed range of 10-5000rpm. Its maximum working speed is more than twice that of the reported triboelectric speed sensor. The maximum NC-TEBS error value regarding the detection speed is less than 1.8rpm, with the maximum error rate below 0.25%. After 5 000 000 revolutions under continuous operation, the open-circuit voltage amplitude did not decay, indicating that NC-TEBS has an ultra-long service life. Finally, the NC-TEBS developed in this paper can monitor the operation status of rolling bearing in real-time, with the characteristics of miniaturization and integration. As such, it provides a theoretical and experimental basis for the development of new self-driven and self-sensing smart bearings.