A study of a novel oil wear particle detection sensor based on magnetic yoke

Metal particle detection in lubricating oil effectively identifies the health condition of mechanical equipment. However, the existing planar inductance coil for detecting metal particles has a low magnetic field strength, which reduces its detection sensitivity. To address this issue, this paper studies planar inductance and proposes a method to improve sensor performance by changing the form and position of the magnetic yoke. By adding a magnetic yoke on both sides of the axis of the planar inductance coil, the intensity of the surrounding magnetic field is altered, leading to improved sensitivity and reduced measurement errors caused by positional differences. Furthermore, the COMSOL simulation method is applied to optimize the magnetic yoke addition and geometric parameters, and an inductance detection verification test is conducted to evaluate sensor performance. Results demonstrate that under the same conditions, the detection signal amplitude increases by approximately 84.7%, the fluctuation rate decreased by 14.16%, and the detection amplitude increases while error decreases. The method proposes in this paper effectively enhances sensor detection sensitivity and can be applied to lubricating oil detection in mechanical equipment.