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- W2775333536 abstract "Most mechanical equipment faults are caused by wear. Debris in lubricating oil can directly reflect the condition of the machine. The key of on-line monitoring lies in how to effectively detect wear particles in concentration and size changes, to determine mechanical equipment running state. Due to the small induced voltage when ferromagnetic particles are through the magnetic field. Considering the properties of the ferromagnetic wear particle and the configuration of the three-coil sensor, a two-dimensional sensor model of the finite element method (FEM) is built via ANSYS Maxwell software. Results show that the magnetic induction of the inductive coil nonlinearly rises with the increase of the input frequency of the power or the diameter of particles, while it also gradually rises with the increase of the velocity of particles. This research is very meaningful for the design of three-coil oil debris sensor." @default.
- W2775333536 created "2017-12-22" @default.
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- W2775333536 date "2017-08-01" @default.
- W2775333536 modified "2023-09-24" @default.
- W2775333536 title "Simulation of Three-Coil Inductive Wear Particle Sensor" @default.
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- W2775333536 doi "https://doi.org/10.1109/sdpc.2017.43" @default.
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