油液磨粒检测技术研究现状与发展趋势  

Research Status and Development Trend of Oil Abrasive Detection Technology

作　　者：龚卿青 白文斌 李凯[1] 任雅君 周诗超 温鹏 GONG Qing-qing;BAI Wen-bin;LI Kai;REN Ya-jun;ZHOU Shi-chao;WEN Peng(School of Information and Communication Engineering, North University of China, Taiyuan 030051, China)

机构地区：[1]中北大学信息与通信工程学院,山西太原030051

出　　处：《中北大学学报（自然科学版）》2021年第6期564-576,共13页Journal of North University of China(Natural Science Edition)

基　　金：山西省自然科学基金项目(201903D121133,201901D211251)。

摘　　要：检测润滑油液中磨粒是预测和判断机械磨损失效故障的重要手段之一,磨粒离线检测技术的检测灵敏度高,检测耗时长、实时性弱.磨粒离线检测技术的发展因不能及时得到检测结果受到限制,而磨粒在线检测技术取得了极大的发展.本文主要对磁感应型、电感型、电容型油液磨粒检测技术,油液磨粒铁谱分析技术,超声、光学磨粒检测技术,磨粒图像分割技术等的检测原理、系统结构、影响因素、适用场合、发展现状等进行了总结和对比分析,指出未来磨粒检测技术的发展需要充分发挥多种传感器的优势,进一步优化磨粒检测传感器的参数,将多种检测技术进行融合,以提高磨粒检测的精度和细化磨粒分析,特别是要提高磨粒在线检测技术的实时检测性能.Detecting abrasive grains in the lubricant is one of the important means of predicting and determining the failure of mechanical wear,the detection sensitivity of abrasive off-line detection techniques is high,but the technology has long detection time and weak realtime performance.The development of off-line abrasive particle detection technology is limited because it can not get the detection results in time,and the on-line abrasive detection technologies have made great development.This paper summarizes and compares the detection principle,system structure,influencing factors,application situation and development status of magnetic induction,inductance and capacitance oil abrasive detection technology,oil abrasive iron spectrum analysis technology,ultrasonic and optical abrasive detection technology,abrasive image segmentation technology,etc.It is pointed out that the development of abrasive particle detection technology in the future needs to give full play to the advantages of multiple sensors and further optimize the parameters of wear particle detection sensors,a variety of detection technologies are integrated to improve the accuracy of abrasive particle detection and refine wear particle analysis,especially to improve the real-time detection performance of abrasive particle on-line detection technology.

关 键 词：机械故障 磨粒检测 润滑油液 电磁学检测 铁谱分析 在线检测 

分 类 号：TH117.1[机械工程—机械设计及理论]