摘要
针对现有信号处理方法在齿轮箱故障诊断中的不足,将本征时间尺度分解算法(Intrinsic Time-scale Decomposition,ITD)应用到齿轮箱故障诊断中。首先介绍了ITD算法;然后将ITD算法应用到齿轮箱的故障诊断中,得到了正确的结论;最后将ITD算法与经验模式分解(EMD)算法进行了比较,结果表明,ITD算法在运算速度和抑制端点效应方面明显优于EMD方法。为齿轮箱的故障诊断提供了一种新的方法。
Aiming at the shortcomings of current signal processing methods for fault diagnosis of gear box,the intrinsic time-scale decomposition（ITD） algorithm is used to diagnose the faults of gear box.To begin with,the ITD method is presented,then the ITD method is applied to the fault diagnosis of a defective gearbox and successfully obtained the correct conclusion.Finally,the ITD method is compared with the EMD method.The results show that,the ITD method has a clear advantage over the EMD method in increasing the computation speed and constraining the end point effect.A new method for the fault diagnosis of gear box is provided.
出处
《机械传动》
CSCD
北大核心
2011年第9期51-53,共3页
Journal of Mechanical Transmission
基金
潍坊学院青年科研基金项目(2011Z14)
关键词
本征时间尺度分解
齿轮箱
故障诊断
Intrinsic time-scale decomposition Gear box Fault diagnosis
