机油分析
粒子(生态学)
状态监测
可靠性(半导体)
电阻抗
材料科学
故障检测与隔离
海洋工程
环境科学
石油工程
工艺工程
计算机科学
工程类
冶金
地质学
电气工程
人工智能
海洋学
物理
功率(物理)
执行机构
量子力学
作者
Hongpeng Zhang,Wenbo Han,Chenzhao Bai,Wei Li,Xin Hu Wang,Yu Liu
标识
DOI:10.1088/1402-4896/ad9c29
摘要
Abstract Oil wear particle can offer wear condition for marine machinery. The shape, size and composition of wear particle can supply important information for diagnosing the type and severity of marine machinery faults. Through oil wear particle detection, potential marine machinery fault diagnosis can be found early, thereby reducing the risk of marine machinery failure diagnosis and improving the reliability and service life of marine machinery. This review summarizes the detection methods, technical characteristics and research progress of oil wear particle detection sensors applied in marine machinery condition monitoring. Oil wear particle detection sensors are divided into impedance-based particle detection method and non-impedance-based particle detection method. Impedance-based method includes inductance, capacitance and resistance principles. Non-impedance-based method includes image processing, optical and acoustic principles. Finally, it points out the future development trends and novel ideas for the oil wear particle detection sensors employed in marine machinery.
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