港口门座起重机回转支承故障趋势识别  

Fault Trend Identification of Slewing Bearing of Crane

作　　者：陈光[1] 肖汉斌[1] 胡立杰 张燕龙 

机构地区：[1]武汉理工大学物流工程系,武汉430063 [2]秦皇岛港务局,秦皇岛066002

出　　处：《武汉理工大学学报（交通科学与工程版）》2004年第2期223-225,共3页Journal of Wuhan University of Technology（Transportation Science & Engineering）

基　　金：教育部重点项目资助 (批准号 :0 112 4)

摘　　要：回转支承的振动直接反映内部运行状况 .同异常回转支承相比 ,正常回转支承振动能量要小几十倍甚至上百倍 ,且由摩擦引起的振动一般是正态随机振动 .文中以港口门座起重机回转支承为实例 ,提出振动能量的冲击可以用来判断回转支承元件的故障 ,而概率密度函数则可作为磨损程度的一个判别依据 。The vibration of slewing bearing directly reflects internal operating situation of a crane. The vibration energy of normal slewing bearing is tens of times even hundreds of times less than those of abnormal slewing bearing. And its vibration caused by friction is the stationary and ergodic random vibration. This paper takes slewing bearing of port gantry cranes as an example and puts forward that the impact of vibrating energy can be used to diagnose failures of slewing bearing devices. As a criterion for the degree of bearing friction, probability density function is very practically useful in the inspection and failure diagnosis of slewing bearing.

关 键 词：回转支承 随机振动 信号分析 概率密度函数 港口门座起重机 故障诊断 

分 类 号：U653.921[交通运输工程—港口、海岸及近海工程]