Design of Inductive Sensor System for Wear Particles in Oil

doi:10.3901/JME.2021.12.126

Abstract

Abstract: The wear particles in oil can reflect the wear condition of engine and other equipment. In order to realize the on-line monitoring of metal wear particles in oil, a mathematical model of three coil sensor is established based on the principle of electromagnetic induction. The optimal structural parameters of the sensor (inner diameter, gap, width, etc.) are analyzed by simulation. The coherent demodulation model is used to extract the wear particle signal, and the generation principle of wear particle signal is analyzed. The system adopts multi-layer shielding structure, which can effectively reduce the external magnetic field interference. The designed sensor detection system is connected to the oil circuit of the fan gearbox for relevant experiments. The experiments show that the system can effectively extract the wear particle signal, and the wear particle signal is affected by the wear particle speed and size at the same time. It can realize the detection of 187 μm ferromagnetic metal wear particles and 578 μm non ferromagnetic metal wear particles under the flow rate of 1-18 L/min. Subsequently, BP neural network can be used to identify the characteristic parameters of oil metal wear particles adaptively, which provides theoretical and technical support for the development of oil wear particles on-line monitoring equipment in the future, and provides an important basis for fault diagnosis of mechanical equipment.

Key words: oil, wear particle detection, coherent demodulation, multilayer shielding

CLC Number:

TP212
TH117

NIU Ze, LI Kai, BAI Wenbin, SUN Yuanyuan, GONG Qingqing, HAN Yan. Design of Inductive Sensor System for Wear Particles in Oil[J]. Journal of Mechanical Engineering, 2021, 57(12): 126-135.

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