journal article·2026-01-01

Design and output characteristics of triboelectric acceleration sensor for low frequency vibration monitoring

Jingyu Cao, Yan Yin, Jiusheng Bao, Wensheng Su, Shirong Ge

Smart Materials and Structures· Volume 35· Issue 1
Publisher page

Abstract

Abstract In response to the current issues of insufficient sensitivity and large output signal errors in low-frequency vibration sensing technology, a triboelectric acceleration sensor was proposed, and its design and output characteristics were studied. The structure of the triboelectric acceleration sensor was designed, the power generation characteristics and its calculation model under different key parameters were analyzed, the sensing characteristics and its calculation model under different key parameters were studied, an optimization method for key parameters of the triboelectric acceleration sensor was proposed, and a triboelectric acceleration sensor was developed and performance testing and application experiments were conducted. The results show that the triboelectric acceleration sensor exhibits excellent dynamic response characteristics within the range of 40 Hz and 32 m s −2 , with a inherent frequency of about 75 Hz and a sensitivity of 0.75 V (m·s −2 ) −1 . Compared with commercial piezoelectric acceleration sensor, it has good low-frequency vibration response characteristics and long-term stability, with most of its output signals having a signal-to-noise ratio of around 35 dB; Make it more suitable for completing low-frequency vibration monitoring tasks such as vehicle vibration. The research results provide a theoretical basis and technical support for enriching the design and sensing theory of triboelectric sensors, and expanding their low-frequency vibration sensing application fields.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Innovative Energy Harvesting Technologies · Dielectric materials and actuators

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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