滚珠丝杠副故障振动信号分析及智能诊断方法综述

Review of Vibration Signal Analysis and Intelligent Faults Diagnosis Methods for Ball Screw

摘要:

滚珠丝杠副作为一种旋转运动与直线运动相互转化的高精度部件，被广泛应用在机床、汽车、航空航天等机械设备中，其健康状态对设备的性能和质量具有重大影响；针对滚珠丝杠副振动信号的特点，系统综述了滚珠丝杠副故障振动信号处理及智能诊断方法；介绍了滚珠丝杠副振动信号的特征分析方法，包括时域分析和基展开方法；讨论了滚珠丝杠副智能故障分类方法，包括支持向量机、反向传播神经网络和卷积神经网络等；对当前滚珠丝杠副振动信号处理方法及故障诊断的研究现状进行了总结，并对未来潜在的发展方向进行了展望。

Abstract:

The ball screw, serving as a high-precision component that converts rotary motion into linear motion and vice versa, finds extensive applications in machinery such as machine tools, automobiles, aerospace, and other mechanical equipment. Its health status has a significant impact on the performance and quality of equipment. Focusing on the characteristics of the vibration signals of the ball screw, a comprehensive re-view of signal processing and intelligent diagnostic methods for faults in the ball screw is presented. The characteristic analysis methods of the vibration signal in the ball screw are introduced, including time-domain analysis and basis expansion methods. The intelligent fault classification methods for the ball screw are discussed, including support vector machines, backpropagation neural networks, and convolu-tional neural networks. A summary of the current research status on the vibration signal processing meth-ods and fault diagnosis of the ball screw pair is provided, along with a prospective discussion on potential future directions.