Research on Self Calibration Technology for Precision Workpiece Measurement Based on Laser Doppler Vibrometer

Ma, Xie; Li, Ming; Ye, Lingjian; Ma, Xianghong; Yu, Kaidong; Zhu, Lizhong; Song, Yushou

doi:10.1080/10584587.2019.1592610

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…A Laser Doppler Vibrometer is a vibration measurement device based on the Doppler Effect and Interference Effect of a laser wave. LDV is able to realize high precision and contactless measurement, which has been widely used in the fields of vibration testing of structures and defect detection [1][2][3] . The current commercial LDV frequency can be covered from Hz level to MHz, some areas of special instruments can reach GHz level measurement, and its displacement measurement can reach the highest nm level [4] .…”

Section: Introductionmentioning

confidence: 99%

Non-contact laser-based test method for vibration performance parameters of hemispherical resonator

Wang,

Yi,

Wei

et al. 2024

Advanced Fiber Laser Conference (AFL2023)

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The high-precision measurement of hemispherical resonator vibration performance parameters has been an obstacle limiting the development of high-precision development of Hemispherical Resonator Gyro (HRG). In this paper, a laserbased contactless testing method for the hemispherical resonator vibration performance parameter is proposed to solve the problem of low efficiency and accuracy in the current hemispherical resonator vibration performance parameter testing method. A hemispherical resonator laser vibration measurement system is constructed, and a high-precision identification method of hemispherical resonator vibration performance parameters based on envelope analysis is proposed. Simulation and experimental results show that the free-decaying vibration signals of the hemispherical resonator can be accurately obtained by laser contactless measurement, and the vibration parameters, such as inherent frequency, frequency-split, quality-factor, as well as modal azimuthal angle of the hemispherical resonator could be identified in one-time test by fitting the obtained vibration signals with proposed nonlinear optimization identification method.

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Section: Introductionmentioning

confidence: 99%

Non-contact laser-based test method for vibration performance parameters of hemispherical resonator

Wang,

Yi,

Wei

et al. 2024

Advanced Fiber Laser Conference (AFL2023)

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Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review

Ghazali

Rahiman

2021

Shock and Vibration

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Untimely machinery breakdown will incur significant losses, especially to the manufacturing company as it affects the production rates. During operation, machines generate vibrations and there are unwanted vibrations that will disrupt the machine system, which results in faults such as imbalance, wear, and misalignment. Thus, vibration analysis has become an effective method to monitor the health and performance of the machine. The vibration signatures of the machines contain important information regarding the machine condition such as the source of failure and its severity. Operators are also provided with an early warning for scheduled maintenance. Numerous approaches for analyzing the vibration data of machinery have been proposed over the years, and each approach has its characteristics, advantages, and disadvantages. This manuscript presents a systematic review of up-to-date vibration analysis for machine monitoring and diagnosis. It involves data acquisition (instrument applied such as analyzer and sensors), feature extraction, and fault recognition techniques using artificial intelligence (AI). Several research questions (RQs) are aimed to be answered in this manuscript. A combination of time domain statistical features and deep learning approaches is expected to be widely applied in the future, where fault features can be automatically extracted from the raw vibration signals. The presence of various sensors and communication devices in the emerging smart machines will present a new and huge challenge in vibration monitoring and diagnosing.

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