振动
加速度计
转子(电动)
放大倍数
相(物质)
声学
流离失所(心理学)
自动化
信号(编程语言)
计算机科学
人工智能
计算机视觉
工程类
电气工程
物理
机械工程
量子力学
操作系统
程序设计语言
心理治疗师
心理学
作者
Cong Peng,Cong Zeng,Yangang Wang
出处
期刊:IEEE Transactions on Instrumentation and Measurement
[Institute of Electrical and Electronics Engineers]
日期:2020-07-01
卷期号:69 (7): 4807-4817
被引量:23
标识
DOI:10.1109/tim.2019.2956333
摘要
Video-based measurement, as one of the most common noncontact measurement methods for industrial inspection, has been developed rapidly. Digital video cameras offer the benefit of low cost, high automation, and are capable to make the simultaneous full-field measurement. This article focuses on studying the microvibrational signal extraction for high-speed rotating machinery with digital cameras. An improved phase-based motion extraction and learning-based video magnification are proposed for measuring the microvibration with high frequency and small amplitude. The phase-based motion extraction is improved by directly transforming the phase variations into the displacement without the computation of phase gradient. Furthermore, the learning-based motion magnification is utilized to amplify and qualitatively measure the microvibration in specified frequency bands. The phase-based motion extraction is a quantitative measurement, while the learning-based video magnification is a qualitative measurement. Experimental results for microvibration measurement rising from a magnetically suspended motor system validate the effectiveness of the proposed method.
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