A Low-Frequency Vibration Experimental Platform for University Physics Experiment Designed by LabVIEW
Yangjie Dai, Leijian Wang, Wenbin Wu, Aiping Chen, Dawei Gu

TL;DR
This paper presents a LabVIEW-based low-frequency vibration experimental platform that replaces traditional equipment, improving efficiency, reducing costs, and enhancing student engagement in university physics experiments.
Contribution
The paper introduces a novel virtual instrument platform using LabVIEW for low-frequency vibration experiments, integrating control and measurement functions in a cost-effective manner.
Findings
Successfully applied in experiments on forced vibration and resonance
Improved experimental efficiency and reduced costs
Enhanced student engagement and learning experience
Abstract
Virtual instrument technology has been increasingly used in university physics experiment teaching. An experimental platform is specifically constructed for studying low-frequency vibrations in university physics, which is based on a computer and its internal sound card, along with a program developed in LabVIEW programming environment to perform control and measurement on our experimental platform. The proposed platform effectively replaces the conventional signal generator and oscilloscope traditionally used in such experiments by integrating virtual instruments and essential experimental equipment. The platform offers various functionalities, such as synchronous transmission and reception of low-frequency signals, frequency measurement, dynamic frequency sweep measurement, and measurement using the three-point approximation method. The proposed platform has been successfully applied…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Sensor and Control Systems · Advanced Computational Techniques and Applications · Wireless Sensor Networks and IoT
