School of Marine Engineering, Daliann Maritime University, Dalian 116026, China.
Sensors (Basel). 2022 Feb 25;22(5):1833. doi: 10.3390/s22051833.
Metallic contaminants (solid) are generated by friction pair, causing wear of equipment by enters the lubricating system. This poses a great potential threat to the normal operation of such machines. The timely analysis and detection of debris can lead to the avoidance of mechanical failures. Abnormal wear in machinery may produce debris exceeding 10 μm. The traditional inductance detection method has low sensitivity and cannot meet the actual detection requirements. To boost the sensitivity of the inductance sensor, the mutual inductance of coils and the strong magnetic conductivity of permalloy was utilized to design a high sensitivity inductance sensor for the detection of debris in lubricating oil. This design was able to detect 10-15 μm iron particles and 65-70 μm copper particles in the oil. The experimental results illustrate that low-frequency excitation is the best for detecting ferromagnetic particles, while high-frequency excitation has the best effect for detecting non-ferromagnetic particles. This paper demonstrates the significant advantages of coil mutual inductance, and strong magnetic conductivity of permalloy in improving the detection sensitivity of oil debris sensors. This will provide technical support for wear detection in mechanical equipment and fault diagnosis.
金属污染物（固体）由摩擦副产生，通过进入润滑系统导致设备磨损。这对机器的正常运行构成了极大的潜在威胁。及时分析和检测碎片可以避免机械故障。机械异常磨损可能会产生超过 10μm 的碎片。传统的电感检测方法灵敏度低，无法满足实际检测要求。为了提高电感传感器的灵敏度，利用线圈的互感和坡莫合金的强磁导率，设计了一种用于检测润滑油中碎屑的高灵敏度电感传感器。该设计能够检测到油中的 10-15μm 铁颗粒和 65-70μm 铜颗粒。实验结果表明，低频激励最适合检测铁磁颗粒，而高频激励对检测非铁磁颗粒效果最佳。本文证明了线圈互感和坡莫合金的强磁导率在提高油屑传感器检测灵敏度方面的显著优势。这将为机械设备磨损检测和故障诊断提供技术支持。
