Synchronous monitoring of axial vibration and rotation speed of rotating cylinder by linear array scanning

Deng, Yunnan; He, Zhongshi; Zhang, Yinhui; Wang, Sen

doi:10.1016/j.ymssp.2022.109445

Cited by 6 publications

(3 citation statements)

References 23 publications

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“…As shown in figure 11, there are three main optical detection methods for seafloor targets, synchronous scanning imaging, range gating imaging, and underwater Lidar imaging [74]. They restore the 3D situational space and visualized the information content of the seabed through optical sensing equipment [75,76].…”

Section: Optical Detectionmentioning

confidence: 99%

Sonar image intelligent processing in seabed pipeline detection: review and application

Shi,

Cao,

et al. 2024

Meas. Sci. Technol.

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Subsea pipelines rely primarily on imaging sonar for detection and identification. We analyze the imaging principles of side scan sonar, multi-beam sonar, synthetic aperture sonar, seafloor penetrating sonar and forward-looking sonar. We discuss their effectiveness in detecting seabed pipelines, as well as their limitations in image recognition capabilities. As intelligent algorithms have become increasingly important in the field of image processing, we review the sonar image intelligent detection and recognition algorithms in the past six years and summarize the internal principles and application effects of classic algorithms such as SIFT (Scale-Invariant Feature Transform), KMA (K-means algorithm), and CFAR (Constant False-Alarm Rate) that currently show good application prospects. Simultaneously, we review the particular strengths exhibited by these algorithms, such as contour feature extraction, image segmentation and clustering, target recognition under background noise, etc. The research on intelligent processing of sonar images opens up a new way to solve the difficult problem of the seabed targets detection and recognition.

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Section: Optical Detectionmentioning

confidence: 99%

Sonar image intelligent processing in seabed pipeline detection: review and application

Shi,

Cao,

et al. 2024

Meas. Sci. Technol.

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“…By pasting [19] or projecting [20] a simple fringe pattern on the surface of a rotating shaft, the radial vibration responses can be measured, but an expensive high-speed area-array camera is necessary. When using a line scan camera (LSC) and special fringe patterns, only the axial vibration response and the rotation speed of a rotating shaft [21,23] or the 3D vibration responses of a non-rotating structure [22] can be measured simultaneously. In this paper, a simple vision-based system with high accuracy and efficiency is then proposed to measure 2D radial vibration responses of a rotating shaft by only using a constant density fringe pattern (CDFP), a LSC, and a lens, which is easy to measure the highfrequency vibration response at a low cost.…”

Section: Introductionmentioning

confidence: 99%

Radial vibration measurement of rotating shaft using constant density fringe pattern and line scan camera

Huang,

Liu,

Zhong

et al. 2024

Meas. Sci. Technol.

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The radial vibration signals of the rotor can provide abundant information about the health condition of the machine. In this paper, a simple vision-based measurement system is proposed to simultaneously measure two-dimensional displacements in radial directions for the rotating shaft, where the system consists of a constant density fringe pattern (CDFP), a line scan camera (LSC), and a lens. The CDFP should be installed around the surface of the rotating shaft to make the density of the fringe constant along the shaft axis, while the shaft axis is vertical to the optical axis of the LSC but not parallel to the line-array sensor of the LSC. Therefore, the density of the fringe imaged on the LSC is not constant because of the modulation of the circular surface of the shaft, and the distribution of the fringe density on the LSC is a U-shaped curve. Thus, the shaft centreline orbit can be tracked by the lowest point of the density distribution curve (DDC) of the fringe. Then, an efficient and accurate parameterized instantaneous frequency estimation method (PIFEM) is employed to estimate the DDC of the fringe, because the variable density fringe can be regarded as an amplitude-modulated and frequency-modulated nonstationary signal whose instantaneous frequency function is equivalent to the DDC. Experimental results verify the feasibility and effectiveness of the proposed method by comparing it to the eddy current sensors.

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“…Signal acquisition is the precondition in control algorithms, and axial vibration and rotation speed are the main measuring signals in transmission mechanisms; however, these two signals are measured separately, and the synchronization of the two signals becomes a key point in acquisition of transmission mechanism signals. Deng et al [7] developed a linear array scanning measuring system, and the synchronization of two signals was improved efectively. Torque is one of the key parameters of precision reducer.…”

Section: Introductionmentioning

confidence: 99%

A Denoising Algorithm Combined with EMD and LMS for Precise Transmission Signal

Song,

Cao,

Zhou

et al. 2023

Shock and Vibration

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High accuracy and stability in mechanical transmission are crucial for various applications. In spite of the validity of mechanical enhancements, control algorithms’ fulfilment offers a cost-effective and efficient approach to mitigating the effects of noise signals. This study presents a hybrid algorithm that combines EMD with the least mean square (LMS) error to achieve online denoising. Within the algorithm, consecutive mean square error (CMSE) and the l2-norm metric are employed to assess the similarity between intrinsic mode functions (IMFs) and the original signal; therefore, IMFs are separated into three distinct components: noise components, information components, and mixed components. The denoised signal is obtained by partial reconstruction. Subsequently, the denoised signal is employed as a reference signal in the LMS algorithm, which is utilized for practical processing. The performance evaluation of the developed algorithm employs simulation and experimental signals. The obtained results illustrate that the presented approach achieves sufficient accuracy and stability.

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Synchronous monitoring of axial vibration and rotation speed of rotating cylinder by linear array scanning

Cited by 6 publications

References 23 publications

Sonar image intelligent processing in seabed pipeline detection: review and application

Sonar image intelligent processing in seabed pipeline detection: review and application

Radial vibration measurement of rotating shaft using constant density fringe pattern and line scan camera

A Denoising Algorithm Combined with EMD and LMS for Precise Transmission Signal

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