AR模型在船舶旋转机械故障诊断和状态预测技术的应用

Application of AR model in fault diagnosis and condition prediction of ship rotating machinery

旋转机械如齿轮、轴承等,是船舶动力系统的关键部件,其安全性、可靠性直接决定了船舶的使用寿命。通常,旋转机械的故障与其振动特性密切相关,通过监测旋转机械的振动频率信号,可以分析和匹配相应的故障类型。本文首先介绍船舶动力系统齿轮、轴承的工作原理和特征频率,结合时间系统AR模型构建了船舶旋转机械故障诊断和状态预测系统,通过分析旋转机械部件的时间序列信号,分析和预测旋转机械部件的故障和工作状态。

Ship rotating machinery, such as gears and bearings, is the key component of ship power system. Its safety and reliability directly determine the service life of the ship. Generally, the faults of ship rotating machinery are closely related to its vibration characteristics. By monitoring the vibration frequency signal of rotating machinery, the corresponding fault types can be analyzed and matched. This paper first introduces the working principle and characteristic frequency of the gear and bearing of the ship power system. Combined with the AR model of the time system, a fault diagnosis and state prediction system for ship rotating machinery is built. By analyzing the time series signals of rotating machinery components,the fault and working state of rotating machinery components are analyzed and predicted.