Results 11 to 20 of about 5,639 (227)

On the Investigation of Frequency Characteristics of a Novel Inductive Debris Sensor [PDF]

open access: yesMicromachines, 2023
Lubricants have the ability to reduce frictions, prevent wear, convey metal debris particles and increase the efficiency of heat transfer; therefore, they have been widely used in mechanical systems.
Xianwei Wu   +6 more
doaj   +6 more sources

A New Inductive Debris Sensor Based on Dual-Excitation Coils and Dual-Sensing Coils for Online Debris Monitoring [PDF]

open access: yesSensors, 2021
Lubricants are of key importance for mechanical processing, and exist in nearly every mechanical system. When the equipment is in operation, debris particles will be generated in mechanical lubricants.
Xianwei Wu   +6 more
doaj   +7 more sources

Improving the Detection Ability of Inductive Micro-Sensor for Non-Ferromagnetic Wear Debris [PDF]

open access: yesMicromachines, 2020
The inductive debris sensor has been studied because of its wide application prospects in mechanical health monitoring. In order to ensure a high-precision detection performance, a comprehensive method to improve the detection sensitivity and detection ...
Man Wang   +5 more
doaj   +5 more sources

Cross-Correlation Algorithm-Based Optimization of Aliasing Signals for Inductive Debris Sensors [PDF]

open access: yesSensors, 2020
An inductive debris sensor can monitor a mechanical system’s debris in real time. The measuring accuracy is significantly affected by the signal aliasing issue happening in the monitoring process.
Xingjian Wang   +3 more
doaj   +5 more sources

Research on the Influence of Coil LC Parallel Resonance on Detection Effect of Inductive Wear Debris Sensor [PDF]

open access: yesSensors, 2022
The coil structure of the inductive wear debris sensor plays a significant role in the effect of wear debris detection. According to the characteristics of LC parallel resonance, the capacitor and coil are connected in parallel to make sensor coils in ...
Heng Huang   +4 more
doaj   +2 more sources

Multichannel Inductive Sensor Based on Phase Division Multiplexing for Wear Debris Detection [PDF]

open access: yesMicromachines, 2019
Inductive wear debris sensor has been widely used in real time machine lubricant oil condition monitoring and fault forecasting. However, the small sensing zone, which is designed for high sensitivity, of the existing sensors leads to low throughput.
Sen Wu   +6 more
doaj   +3 more sources

Improving Sensitivity of a Micro Inductive Sensor for Wear Debris Detection with Magnetic Powder Surrounded [PDF]

open access: yesMicromachines, 2019
The inductive detection of wear debris in lubrication oil is an effective method to monitor the machine status. As the wear debris is usually micro scale, a micro inductive sensor is always used to detect them in research papers or high-tech products ...
Liankun Liu   +7 more
doaj   +3 more sources

Research on the influence of inductive wear particle sensor coils on debris detection

open access: yesAIP Advances, 2022
The debris detection characteristics of the inductive wear monitoring are researched by the method of combining theoretical research and simulation analysis in this paper.
Heng Huang   +5 more
doaj   +2 more sources

Theoretical and simulation analysis on the spatial resolution of magnetic metal debris sensors

open access: yesFrontiers in Materials, 2023
Inductive debris sensor is becoming increasingly important in online oil debris detection. This work proposes a new criterion for evaluating the performance of an inductive oil debris sensor: spatial resolution.
Yijun Ren   +4 more
doaj   +1 more source

Wear debris measurement in lubricating oil based on inductive method: A review

open access: yesMeasurement + Control, 2023
Almost all of the wear debris generated during the operation of the machine is suspended in the circulating lubricating oil. The analysis of the wear debris in the lubricating oil can effectively monitor the wear state of the machine and provide early ...
Shimin Yang, Nan Cao, Bing Yu
doaj   +1 more source

Home - About - Disclaimer - Privacy