Application of improved reweighted singular value decomposition for gearbox fault diagnosis based on built-in encoder information
Application of improved reweighted singular value decomposition for gearbox fault diagnosis based on built-in encoder information
复制标题
改进的重加权奇异值分解在基于内置编码器信息的齿轮箱故障诊断中的应用
DOI：
10.1016/j.measurement.2020.108295
复制
发表时间：
2021-01-15
期刊：
影响因子：
5.6
通讯作者：
Lin, Jing
中科院分区：
文献类型：
--
作者：
Miao, Yonghao;Zhang, Boyao;Lin, Jing
行星齿轮箱作为汽车的关键传动部件，由于其工作环境恶劣、负载持续大等特点，极易发生损坏。内置编码器信号以其较低的成本和较好的可访问性，在最近的研究中被认为是齿轮箱健康状态监测的替代工具。然而，如何在没有相移或波形失真的情况下提取特征签名已成为当前方法的主要挑战。基于此，本文设计了一种改进的加权奇异值分解（IRSVD）方法来处理上述问题。首先，通过数学推导和数值分析相结合的方法，研究了故障齿轮编码器信号的特征。为了准确地评估这种故障特征，一个新的指标，即归一化谐波比例（NPH），介绍。在没有任何先验信息的情况下，它可以用于应用所提出的IRSVD方法时的信号分量（SC）的最佳选择。IRSVD利用NPH的优点，可以选择最优的SC作为去噪信号，大大简化了传统奇异值分解（SVD）的应用。最后，以某行星齿轮箱为例，对齿轮箱的腐蚀故障和双齿磨损故障进行了仿真和真实的实验数据分析，验证了IRSVD方法的有效性。
Due to the harsh operating condition and persistent heavy load, planetary gearboxes as the key transmission parts are prone to damage. With lower cost and better accessibility, the built-in encoder signal has been considered an alternative tool for health state monitoring of gearboxes in recent researches. However, how to extract the feature signature without phase shift or waveform distortion has become a major challenge for current methods. Motivated by this, an improved reweighted singular value decomposition (IRSVD) method is designed to deal with the aforementioned problem in this paper. Firstly, through mathematical derivation combined with numerical analysis, the characteristics of the encoder signal from faulty gear are studied. To accurately evaluate this kind of fault feature, a new index, namely the normalized proportion of harmonics (NPH), is introduced. Without any prior information, it can be used for the optimal selection of the signal component (SC) when applying the proposed IRSVD method. Benefiting from the merit of NPH, IRSVD can choose the optimal SC as the denoised signal, which greatly simplifies the application of traditional singular value decomposition (SVD). Finally, the effectiveness of IRSVD is verified by case studies with both simulated data and real experimental data from a faulty planetary gearbox, containing the challenging corrosion fault and two-worn-teeth fault.