船用空压机气阀监测诊断系统研究  

Monitoring & diagnosing system of marine air compressor valves

作　　者：胡甫才[1,2] 丁怀志 周赛洪 林彦彬[1,2] 郭蕴华[1,2] 

机构地区：[1]高性能船舶技术教育部重点实验室(武汉理工大学),武汉430063 [2]武汉理工大学能源与动力工程学院,武汉430063

出　　处：《船舶力学》2016年第10期1338-1344,共7页Journal of Ship Mechanics

基　　金：国家纵向项目:高技术船舶专项(20121g0023)

摘　　要：气阀是空压机中关键的零部件,对其磨损故障进行监测诊断研究具有重要的工程意义。文章采用希尔伯特-黄变换(HHT)得到CZ60-30船用往复式空气压缸盖表面振动信号的时频谱图,并从中提取标准差、峭度、不变矩等时频特征参数,用支持向量机(SVM)实现故障的识别,并基于Lab VIEW虚拟仪器软件开发了船用空压机气阀磨损智能监测诊断系统。结果表明:通过时频联合分析判断气阀故障正确率可达到96.97%。Valves are the key components of air compressor. It is of important significance to study diagnose technique of valve wear fault. In this paper , Hilbert-Huang transform （HHT） was applied to acquire the time-frequency spectrum of vibration signal on a marine reciprocating compressor CZ60-30. Standard devia-tion , kurtosis, invariant moments were chose to be the diagnosis parameters to identify the wear fault with support vector machine （ SVM）. Diagnose system were developed on LabVIEW software. The result indicated that diagnosis accuracy attained 96.97% with time-frequency analysis.

关 键 词：空压机 气阀 监测诊断 HHT SVM 

分 类 号：U664.51[交通运输工程—船舶及航道工程]