2022
DOI: 10.1109/jsen.2022.3172999
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Metal Particles Velocity Measurement Based on Capacitance Sensor With Double Triangular-Shaped Electrodes

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Cited by 4 publications
(3 citation statements)
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“…A particle passing through the electrodes with different conductivity or permittivity from the filling medium will produce a resistance or capacitance change in the poles, generating a signal. The method has been primarily used in the detection of wear debris in oil [36], [82]- [88]. Since the capacitive approach allows the detection of relatively conductive particles in a non-conductive medium [84], it can be applied to other non-conductive samples such as vaccines.…”
Section: B Electric Methodsmentioning
confidence: 99%
“…A particle passing through the electrodes with different conductivity or permittivity from the filling medium will produce a resistance or capacitance change in the poles, generating a signal. The method has been primarily used in the detection of wear debris in oil [36], [82]- [88]. Since the capacitive approach allows the detection of relatively conductive particles in a non-conductive medium [84], it can be applied to other non-conductive samples such as vaccines.…”
Section: B Electric Methodsmentioning
confidence: 99%
“…The detection throughput of the sensor has undergone a substantial improvement, exhibiting a twelvefold increase compared to its initial value. In 2022, Gao et al presented a novel capacitive sensor that was specifically developed for real-time monitoring of the mean velocity of metal particle flow in narrow pipes [33]. This sensor employs double triangular electrodes for both numerical simulations and experimental investigations.…”
Section: Capacitive Sensormentioning
confidence: 99%
“…This early warning allows for proactive maintenance, reducing the risk of unexpected breakdowns at sea [32]. By detecting wear in its incipient stages, these sensors help prevent costly and potentially catastrophic failures of critical ship equipment, ensuring the safety of the vessel and its crew [33]. These sensors provide data and insights into wear patterns, allowing for data-driven decision-making regarding maintenance schedules, component replacements, and system upgrades [34].…”
Section: Introductionmentioning
confidence: 99%