Laser doppler vibrometer validation of an optical flow motion tracking algorithm

Ismail, Hina; Pretty, Christopher G.; Signal, Matthew; Amies, Alexander C.; Haggers, Marcus; Chase, J. Geoffrey

doi:10.1016/j.bspc.2018.12.017

Cited by 5 publications

(3 citation statements)

References 14 publications

(18 reference statements)

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“…Induction sensors are easily subject to ambient temperature, humidity, magnetic field and other factors, and scholars have designed different optical vibration measurement instruments. Ismail [11] et al employed the laser Doppler oscillometer and the optical flow algorithm to measure the surface vibration of the silicone model, which can capture the model surface vibration at different frequencies, which has good robustness. The applicability of this method was demonstrated by testing by the rotor vibration measurement of wind turbines using laser Doppler vibration measurement by Gohler [12] et al However, when the laser Doppler test, the measurement accuracy will decrease because of the measurement Angle amplification, and the accompanying noise will be amplified.…”

Section: Introductionmentioning

confidence: 99%

Research on Online Monitoring and Analyze of Hydraulic Turbine Based on Low Cost, Fast and Internet of Things Technology

Bai

Zhang

Liang

et al. 2022

J. Phys.: Conf. Ser.

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In view of the problems such as difficulty in and high cost of vibration signal collection of rotating mechanical rotating shaft, this paper proposes a low-cost, fast, stable and reliable hydraulic turbine rotating wheel vibration signal online monitoring scheme specially designed to the imbalance and dynamic balance counterweight of hydraulic turbine rotating shaft. Three high-frequency wireless acceleration sensors are installed on the rotating shaft to monitor the vibration signals of the three directions in real time. Vibration signals are sent to the cloud platform to facilitate data storage. The acceleration signal is decomposed by WOA-VMD. The time domain signal shows the running track of the shaft to guide the dynamic balance counterweight of the rotor. The frequency domain signal is used to analyze the machine vibration in the shaft frequency domain and predict the health status of the shaft according to the frequency change. According to this system, completed the experiment of a hydraulic turbine experiment, proved the feasibility and rationality of the system, and has good application prospect and practical value.

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Section: Introductionmentioning

confidence: 99%

Research on Online Monitoring and Analyze of Hydraulic Turbine Based on Low Cost, Fast and Internet of Things Technology

Bai

Zhang

Liang

et al. 2022

J. Phys.: Conf. Ser.

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“…RCWL merupakan microwave motion sensor dengan prinsip kerja secara kontinyu mengirim gelombang mikro. Sensor mendeteksi gerakan dengan berubahnya sinyal, sesuai radar Doppler [17]. Sensor ini mempunyai sensitivitas tinggi, sudut dan jarak penginderaan yang besar.…”

Section: Introductionunclassified

Prototipe Alat Pengusir Burung Pada Gedung Berbasis Internet of Things Menggunakan Sensor RCWL

Khumaidi

2020

Ilk. J. Ilm.

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Sound disturbance and bird droppings in buildings are a problem for building managers. Bird droppings are quite difficult to remove and cause damage to the walls and aesthetics, especially the trend in the use of building roofs as a rooftop for productive activities. This study proposes the use of RCWL motion sensors for motion detection and the resulting output is the sound of eagles from speakers and ultrasonic speakers. The tool was developed based on internet of things using an arduino nano ATMega 328 microcontroller, connection and data transmission using SIM800L and GSM modules and power supply using a solar panel power bank. The test results show that the RCWL motion sensor is quite optimal in the detection of more than or equal to 3 birds. Sound output and the resulting waves are able to prevent birds from alighting and nesting.

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“…Laser Doppler vibrometry (LDV), as a powerful technique for non-contact vibration measurements, is widely used in many applications such as mechanical engineering, archaeology and biomedicine [1][2][3]. It provides a velocity signal of the tested object by using the Doppler frequency shift between the incident light and the light reflected from the object's surface.…”

Section: Introductionmentioning

confidence: 99%

A novel algorithm for determining the pose of a scanning laser Doppler vibrometer

Liu¹,

Zang²,

Zhou³

2019

Meas. Sci. Technol.

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A scanning laser Doppler vibrometer (SLDV) directs the laser beam scanning over an object by using a galvanometer scanner system, which comprises two orthogonal mirrors and two driving motors. Hence, a control algorithm for the galvanometer scanner is essential to precisely direct the laser beam to the desired position. In this paper, a novel and easy-to-implement algorithm is put forward to determine the pose (orientation and position) of an SLDV. Firstly, a mathematical model is established to correlate the coordinates of the laser spot in the galvanometer mirrors’ coordinate system (MCS) and the rotation angles of the X and Y mirrors. Then, the spatial relationship between the MCS and the tested structure’s coordinate system (TSCS) is identified using an appropriate set of fitted polynomials through a number of reference points. The polynomial coefficients are derived by computing the Moore–Penrose pseudoinverse of the matrix composed of the coordinates of the reference points. Integrated into an SLDV, this algorithm has a strong capacity for dealing with complex testing objects with curved surfaces. Taking a compressor blade as an example, the novel algorithm was applied to an SLDV to direct the laser beam scanning over the measurement points arranged on the blade surface. Results show that the position of the laser spot controlled using the proposed algorithm is accurate, with the maximum deviation from the actual measurement points arranged on the surface being less than 1 mm. The mode shapes of the blade and the modal assurance criterion values also illustrate the feasibility and accuracy of the algorithm for determining the pose of the SLDV. The work presented in this paper has excellent potential for the further development of SLDVs.

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Laser doppler vibrometer validation of an optical flow motion tracking algorithm

Cited by 5 publications

References 14 publications

Research on Online Monitoring and Analyze of Hydraulic Turbine Based on Low Cost, Fast and Internet of Things Technology

Research on Online Monitoring and Analyze of Hydraulic Turbine Based on Low Cost, Fast and Internet of Things Technology

Prototipe Alat Pengusir Burung Pada Gedung Berbasis Internet of Things Menggunakan Sensor RCWL

A novel algorithm for determining the pose of a scanning laser Doppler vibrometer

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