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- Tsinghua SIGS TBSI has developed a triboelectric vibration sensor for monitoring the condition of machinery
SHENZHEN, China, Nov. 24, 2022 /PRNewswire/ -- Wenbo Ding's group from Tsinghua-Berkeley Institute Shenzhen, Tsinghua Shenzhen International Graduate School has made significant achievements in vibration detection research. In this study, a highly sensitive self-powered vibration sensor based on the Triboelectric Nanogenerator (TENG) has been developed, which is successfully used to control the operating conditions of mechanical gear systems, reaching a recognition accuracy of 99.78. %. The research article titled "A Highly Sensitive Triboelectric Vibration Sensor for Machinery Condition Monitoring" was published in the journal Advanced Energy Materials and selected as the cover article of the current issue (https://doi.org/10.1002/aenm.202201132).
Vibration sensors are very present in a wide variety of applications. Especially in the Internet of Things era, the development of self-powered vibration sensors has become a very significant but challenging problem. In this article, a high-sensitivity self-powered vibration sensor based on the TENG for machine condition monitoring is investigated. The triboelectric layers built by the flexible dielectric film and the porous metal material effectively enhance the sensitivity of the TENG sensor. The TENG sensor can detect vibrations of 1-2,000 Hz, and the output signal of the TENG sensor has no waveform distortion even in high-temperature and high-humidity environments. Combined with machine learning algorithms, the TENG system has been used successfully to monitor the operating conditions of mechanical gear systems with high precision. The results can be displayed both on the computer screen and on other mobile devices in real time. In addition, it can be used for vibration detection in other areas, such as air compressor, heat gun, hollow tile recognition, etc. The detected data is further processed by an integrated system and displayed on the local screen. This work presents solid progress towards practical applications of TENG in vibration detection and has great potential for the development of self-powered vibration detection.
Tsinghua-Berkeley Shenzhen Institute (TBSI) is jointly established by Tsinghua University and the University of California, Berkeley under the support of the Shenzhen Municipal Government. Especially, Data Science and Information Technology, full English program, has double degree for master's program. Upon completion of the TBSI and UC Berkeley degree requirements, students can earn a dual degree. As for PhD students, the study will be completed at both Tsinghua University and UC Berkeley.
Tsinghua-Berkeley Shenzhen Institute Tel: 86-755-86564625Email: firstname.lastname@example.org
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