Volume 1,Issue 9
电磁感应式油液磨损传感器性能评价体系及齿轮箱故障诊断方法研究
风电齿轮箱磨损故障导致运维成本激增,电磁感应式油液磨损传感器可实现实时磨粒监测,但存在灵敏度差异、环境误判及诊断脱节三大瓶颈。本文构建“设计参数- 环境干扰- 诊断算法”全链路分析框架,揭示磁场梯度、颗粒速度、气泡/ 振动干扰等动态机制,提出基于技术评价因子(TF)的静动态性能评价体系,创新引入工业过程控制理论建立分级预警策略及增量累积分布(ICDT)智能诊断算法,为风电齿轮箱监测标准化提供技术路径。
[1] 钱敏. 高分辨率电磁感应式金属微粒检测器研究2022.
[2]Wu,X.et al.A New Inductive Debris Sensor Based on Dual-Excitation Coils and Dual-Sensing Coils.Sensors 2021.
[3]Fan,B.et al.A Permanent Magnet Ferromagnetic Wear Debris Sensor Based on Axisymmetric High-Gradient Magnetic Field. Sensors 2022.
[4]Li,W.et al.Analysis of the Effect of Velocity on the Eddy Current Effect of Metal Particles.Sensors 2022.
[5]Rao X,Sheng C X,Guo Z W,et al.A review of online condition monitoring and maintenance strategy for cylinder liner-piston rings of diesel engines[J.Mechanical Systems and Signal Processing,2022.
[6]Massarini A,Kazimierczuk M K.Self-capacitance of inductors[JJ.IEEE transactions on power electronics,1997.
[7] 郭明远 等. 电磁磨粒检测中气泡对铜颗粒信号的影响特性分析.2024.
[8] 史皓天. 基于多参数分析的金属磨粒材质区分机理及多污染物检测研究[D]. 大连海事大学,2023.
[9]Moschytz G S. High-Q factor insensitive active RC network, similar to the Tarmy-Ghausi circuit but using single-ended operational amplifiers[J. Electronics Letters,1972.
[10] 边瑞卿. 基于电磁感应的嵌套式油液磨粒检测技术研究[D]. 中北大学,2024.