一种基于正弦模型的齿轮箱诊断方法  

A New Method Based on Sinusoidal Model for Gear Box Fault Detection

作　　者：周振玉[1] 黄立冬 徐攀峰[2] ZHOU Zhen-yu;HUANG Li-dong;XU Pan-feng(Electric Automation Design Institute of WISDRI Engineering&Research Incorporation Limited,Wuhan 430223,China;Department of Physics,Liaoning University,Shenyang 110036,China)

机构地区：[1]中冶南方工程技术有限公司电气自动化设计所,湖北武汉430223 [2]辽宁大学物理学院,辽宁沈阳110036

出　　处：《辽宁大学学报（自然科学版）》2021年第3期222-228,共7页Journal of Liaoning University：Natural Sciences Edition

基　　金：国家重点研究发展项目(2018YFB1700103)。

摘　　要：齿轮箱作为许多工业机械中核心部件,优良的故障诊断方法是保证其可靠性和稳定性的关键因素.基于正弦信号模型,结合剩余能量理论,提出一种应用于齿轮箱故障诊断的新方法 .该方法通过正弦模型对齿轮箱振动信号进行修正,再结合剩余能量模型,从齿轮箱振动信号中提取出故障特征参数并对其分析.通过提取的剩余能量信号来判断出齿轮箱故障所在.最后通过齿轮箱数据实验验证了该方法的有效性和准确性,为工业机械的安全奠定了基础.As the core component of many industrial mechanical equipment,the excellent fault detection method of gear box becomes the key factor of stability and reliability. Based on sinusoidal model and residual energy theory,this paper proposes a new method for gear box fault detection. The method extracts the feature parameters and analyzes them by modifying the sinusoidal vibration signal model and residual energy model,w hich can detect the fault in the gear box by the residual signal. Finally,the validity and accuracy of the method are verified by the gear box experiment,w hich makes a foundation for the safety of industrial machinery.

关 键 词：正弦模型 剩余能量理论 故障诊断 工业可靠性 

分 类 号：TH165.3[机械工程—机械制造及自动化]