Results 11 to 20 of about 635 (191)

Inductive Magnetic Nanoparticle Sensor Based on Microfluidic Chip Oil Detection Technology

open access: yesMicromachines, 2020
The wear debris in hydraulic oil or lubricating oil has a wealth of equipment operating information, which is an important basis for large mechanical equipment detection and fault diagnosis.
Chenzhao Bai   +4 more
doaj   +2 more sources

A Critical Review of On-Line Oil Wear Debris Particle Detection Sensors

open access: yesJournal of Marine Science and Engineering, 2023
In the field of marine engineering, the friction and wear experienced by rotating mechanisms are recognized as significant contributors to the failure of marine machinery.
Wenbo Han   +6 more
doaj   +2 more sources

A Wear Debris Signal Processing Method Based on Inductive Monitoring for Aero-Engine

open access: yesApplied Sciences
In view of the high false alarm rate in the oil debris monitoring results of the triple-coil inductive sensor in the transmission lubrication system of the aero-engine, a new debris signal processing method based on inductive monitoring is proposed.
Heng Jiang   +3 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

A Wear Particle Sensor Using Multiple Inductive Coils Under a Toroidal Magnetic Field

open access: yesIEEE Access, 2021
Inductive wear particle sensors have been widely studied due to their ability to monitor the wear status of equipment in real time. To detect wear particles more precisely, a wear particle sensor based on multiple inductive coils under a toroidal ...
Yin Bai   +5 more
doaj   +1 more source

The Optimization of Parallel Resonance Circuit for Wear Debris Detection by Adjusting Capacitance

open access: yesEnergies, 2022
Wear debris in lubrication oil provides important information for marine engine condition monitoring and faults diagnosis. Inductive sensors have been widely used to detect wear debris in lubrication oil. To improve the sensitivity, the inductive coil is
Zhijian Liu   +6 more
doaj   +1 more source

Study on online monitoring wear debris sensor of wind turbine gearbox

open access: yesThe Journal of Engineering, 2019
Lubrication is one of the critical factors for the normal operation of wind turbine's gearbox, which carries abundant and various wear debris. Accordingly, these debris reflects the running state of the equipment and forecasts the early fault of wind ...
Xiangqi Zhang   +3 more
doaj   +1 more source

Research on the Detection of Metal Debris with Microplane Inductance Sensor

open access: yesAdvances in Mechanical Engineering, 2013
The debris detection system is simulated and analyzed with the software of Maxwell 14 in this paper. The magnetic induction intensity and the magnetic density of the detection system with metal debris are simulated. The static experimental system is designed to measure the inductance caused by different metal debris.
Bendong Liu   +3 more
openaire   +2 more sources

A Novel Demodulator Design for Signal Processing of Inductive Oil Debris Sensors [PDF]

open access: yesMeasurement Science and Technology
Abstract Metal debris from bearing wear occurred in the lubrication system of aircraft engines represents valuable information, which can be utilized to assess the current engine condition and further enable the life-cycle prediction. The demodulation of debris signals consists of two parts: mixing and filtering.
Guan Wang   +5 more
openaire   +2 more sources

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