Machine condition monitoring enabled by broad range vibration frequency detecting triboelectric nano-generator (TENG)-based vibration sensors
نویسندگان
چکیده
Vibration analysis is an efficient method to monitor machine condition status. Different types of vibration sensors, such as microelectromechanical, and piezoelectric accelerometers have been used measure vibrations, but face the problems relying on external power high cost. Recently, triboelectric nano-generator (TENG)-based sensors attracted attention solve these problems. However, previous studies TENG-based mechanical are limited a low-frequency range (less than 200 Hz), which below industry monitoring requirements (often 10–1000 Hz). This work aims at enabling for higher frequencies broad frequency detection through structural design supported by numerical simulations. Numerical simulation results indicate that controlled can be easily expanded high-frequency reducing size improving shape structure. Spring-assisted with possibility detecting within 0–1200 Hz, covers major failures imperfections in vibrational ranges, prepared according results. The experimental show developed sensor successfully detects signals Hz. Due optimized symmetry effective spring stiffness, two spring-assisted (TS) structures generate electric signal output (up V 0.9 µA). TENG further compared high-quality commercial terms response bearing defects. provide least same function demonstrate promising potential detect working conditions.
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ژورنال
عنوان ژورنال: Nano Energy
سال: 2022
ISSN: ['2211-3282', '2211-2855']
DOI: https://doi.org/10.1016/j.nanoen.2022.107292