铁谱技术智能化应用研究进展  

Research Progress of Intelligent Application of Ferrographic Technique

作　　者：颜欢[1] 韩超[1] 张贤明[1] 

机构地区：[1]重庆工商大学废油资源化技术与装备教育部工程研究中心,重庆400067

出　　处：《重庆工商大学学报（自然科学版）》2016年第5期85-91,共7页Journal of Chongqing Technology and Business University:Natural Science Edition

基　　金：重庆市基础与前沿研究计划项目(CSTC2014JCYJA90015);重庆市研究生教育教学改革研究项目(YJG153004);重庆市研究生市级创新型项目(YJSCXX2015-41-24)

摘　　要：铁谱技术是诊断机械设备发生磨损故障的有效办法,但传统铁谱技术难以实现对油液进行在线监测和磨粒的自动识别,而铁谱技术的智能化发展使得磨粒自动识别得以实现;从在线铁谱智能图像理论、BP神经网络、支持向量机和模糊集理论4个方面综述了铁谱技术智能化的应用研究,为后续深入研究铁谱智能化识别系统起到重要的指导意义。The ferrography technology is an effective way to diagnose the wear faults of mechanical equipment.This paper has introduced the current application of traditional ferrography technology. It is difficult to realize the on-line monitoring of oil and the automatic recognition of the abrasive grains by the traditional iron ferrography technology. The intelligent development of the iron ferrography technology makes the automatic recognition of the abrasive grains be realized. Then it has summarized the research and application of intelligent ferrography technology from such four aspects as intelligent on-line ferrograph image theory,BP neural network,support vector machine and fuzzy set theory. Those researches have important guiding significance for the further research of the ferrography intelligent identification system.

关 键 词：铁谱技术 在线式铁谱仪 人工神经网络 支持向量机 模糊集理论 

分 类 号：TH117.1[机械工程—机械设计及理论]