摘要
文章针对某型船舶发电柴油机异常磨损故障,选用原子发射光谱分析、红外光谱分析、PQ铁磁性颗粒分析、铁谱分析和部分理化指标检测等技术手段,构建了监测与诊断分析流程,通过对3台该型柴油机500 h的运行监测与跟踪分析,准确判断出以上柴油机活塞环与缸套、连杆大端轴瓦的异常磨损,并结合检修对以上故障进行了验证与分析。实践表明,所构建的方法和流程能够有效地实现柴油机异常磨损故障的检出、评价、诊断与分析。
In this paper,the abnormal wear failures of a certain type of marine generator diesel engine were studied,the monitoring and diagnosis analysis process was constructed by using such technical means as atomic emission spectrum analysis,infrared spectrum analysis,PQ ferromagnetic particle analysis,ferrography analysis and partial physical and chemical index detection technology. Through 500 hours ' tracking operation monitoring of three diesel engines,the abnormal wear of the piston rings,cylinder sleeves and big end bearing of connecting rod in the diesel engines was accurately detected and verified. The practice indicates that the methods and procedures are effective in the detection,evaluation,diagnosis and analysis of the engine' s abnormal wear.
引文
[1]谢友柏,张嗣伟.摩擦学科学及工程应用现状与发展战略研究[M].北京:高等教育出版社,2009.
[2]贺石中,冯伟.设备润滑诊断与管理[M].北京:中国石化出版社,2017.
[3]周平,刘东风,吴千.柴油机油液监测综合评价方法[J].润滑油,2010,25(2):35-38.
[4]石新发,刘东风,周志才.油液监测信息综合应用关键问题研究[J].武汉理工大学交学报(交通科学与工程版),2014,38(6):1351-1354.
[5]石新发,刘东风,周志才.油液监测多源信息融合模型构建方法研究[J].武汉理工大学(交通科学与工程版),2018,42(2):253-256.