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An Ultrasound-based In-situ Monitoring for Water-lubricated Thrust Bearing Wear

Water-lubricated bearings are prone to abnormal wear due to mixed lubrication under harsh conditions. Accurate wear measurement is critical for analyzing the wear mechanisms and evaluating the health of bearings. However, the traditional wear monitoring usually needs to disassemble the bearing struc...

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Published in:IEEE sensors journal 2024-11, p.1-1
Main Authors: Zhang, Xueqin, Hu, Fei, Ouyang, Wu, Ning, Changxiong, Sheng, Chenxing
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description Water-lubricated bearings are prone to abnormal wear due to mixed lubrication under harsh conditions. Accurate wear measurement is critical for analyzing the wear mechanisms and evaluating the health of bearings. However, the traditional wear monitoring usually needs to disassemble the bearing structure, which is ineffective. The aim of this study is to achieve the in-situ monitoring of the water-lubricated thrust bearing based on non-destructive ultrasound technology. The traditional time-domain ultrasound method is limited to accurately identify the wear due to the non-homogeneity and large attenuation of the water-lubricated bearing, while the water film could influence the echo signal. Therefore, a multi-parameter inversion method based on frequency domain features of the ultrasonic signal is performed to simultaneously identify the thickness, density, and attenuation factor of the bearing. Pearson's correlation coefficient of measured and theoretical ultrasonic reflection coefficient amplitude spectrum (URCAS) is taken as the objective function. Finite element simulation and the water-lubricated thrust bearing wear experiment are used to verify the proposed method and its potential for practical scenarios. The results show that the inversion error of the thickness-density-attenuation factor is the smallest in three-parameter inversion. The absolute wear error of the proposed method is 32 μm and 45 μm in the bearing wear test. The water film thickness of less than 30 μm has almost no effect on the wear measurement of the bearing pad. The proposed method provides a solution to achieve the in-situ monitoring of water-lubricated thrust bearing wear.
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Accurate wear measurement is critical for analyzing the wear mechanisms and evaluating the health of bearings. However, the traditional wear monitoring usually needs to disassemble the bearing structure, which is ineffective. The aim of this study is to achieve the in-situ monitoring of the water-lubricated thrust bearing based on non-destructive ultrasound technology. The traditional time-domain ultrasound method is limited to accurately identify the wear due to the non-homogeneity and large attenuation of the water-lubricated bearing, while the water film could influence the echo signal. Therefore, a multi-parameter inversion method based on frequency domain features of the ultrasonic signal is performed to simultaneously identify the thickness, density, and attenuation factor of the bearing. Pearson's correlation coefficient of measured and theoretical ultrasonic reflection coefficient amplitude spectrum (URCAS) is taken as the objective function. Finite element simulation and the water-lubricated thrust bearing wear experiment are used to verify the proposed method and its potential for practical scenarios. The results show that the inversion error of the thickness-density-attenuation factor is the smallest in three-parameter inversion. The absolute wear error of the proposed method is 32 μm and 45 μm in the bearing wear test. The water film thickness of less than 30 μm has almost no effect on the wear measurement of the bearing pad. 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Accurate wear measurement is critical for analyzing the wear mechanisms and evaluating the health of bearings. However, the traditional wear monitoring usually needs to disassemble the bearing structure, which is ineffective. The aim of this study is to achieve the in-situ monitoring of the water-lubricated thrust bearing based on non-destructive ultrasound technology. The traditional time-domain ultrasound method is limited to accurately identify the wear due to the non-homogeneity and large attenuation of the water-lubricated bearing, while the water film could influence the echo signal. Therefore, a multi-parameter inversion method based on frequency domain features of the ultrasonic signal is performed to simultaneously identify the thickness, density, and attenuation factor of the bearing. Pearson's correlation coefficient of measured and theoretical ultrasonic reflection coefficient amplitude spectrum (URCAS) is taken as the objective function. Finite element simulation and the water-lubricated thrust bearing wear experiment are used to verify the proposed method and its potential for practical scenarios. The results show that the inversion error of the thickness-density-attenuation factor is the smallest in three-parameter inversion. The absolute wear error of the proposed method is 32 μm and 45 μm in the bearing wear test. The water film thickness of less than 30 μm has almost no effect on the wear measurement of the bearing pad. 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Accurate wear measurement is critical for analyzing the wear mechanisms and evaluating the health of bearings. However, the traditional wear monitoring usually needs to disassemble the bearing structure, which is ineffective. The aim of this study is to achieve the in-situ monitoring of the water-lubricated thrust bearing based on non-destructive ultrasound technology. The traditional time-domain ultrasound method is limited to accurately identify the wear due to the non-homogeneity and large attenuation of the water-lubricated bearing, while the water film could influence the echo signal. Therefore, a multi-parameter inversion method based on frequency domain features of the ultrasonic signal is performed to simultaneously identify the thickness, density, and attenuation factor of the bearing. Pearson's correlation coefficient of measured and theoretical ultrasonic reflection coefficient amplitude spectrum (URCAS) is taken as the objective function. 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subjects Accuracy
Acoustics
Attenuation
Current measurement
in-situ wear monitoring
Monitoring
parameter inversion
Sea measurements
Sensors
Thickness measurement
Ultrasonic imaging
ultrasonic reflection coefficient amplitude spectrum
Ultrasonic variables measurement
Water-lubricated thrust bearing
title An Ultrasound-based In-situ Monitoring for Water-lubricated Thrust Bearing Wear
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