中文摘要：

为了探究岸边集装箱岸桥每次作业的载荷情况,提高对使用寿命评估的准确性,运用K-均值聚类算法与定量统计分析方法,对岸桥起升电机的径向和轴向振动烈度进行研究.建立了起升电机振动烈度与岸桥载荷状态的数学模型和振动烈度径向与轴向的相关性模型,提出了岸桥载荷分类识别方法.通过实时数据验证,该分类方法能够很好地代表岸桥的实时工作状态,对于岸桥载荷状态的正确分类和工程应用中的监测与评估具有重要意义.

英文摘要：

This work aims to measure the load weight of each operation of the quayside container crane which is important for accurately assessing the service life of the crane. K-means clustering algorithm and quantitative statistical analysis are used to study the vibration of the hoist motor of the crane in radial and axial directions. This paper proposes not only a mathematical model showing the relationship between the vibration intensity of the hoisting motor and the load weight of the crane but also the correlation model of vibration intensity in radial and axial direction. Moreover, the identification and classification methods of the load weight of the crane are put forward. This paper contributes to representing the real-time working status of the crane which is of great significance for the proper classification of the load state of the crane and the monitoring and evaluation in engineering applications.