Li Xiang, Ma Jun, Wang Xiaodong, Wu Jiande, Li Zhuorui
Fauclty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China; Engineering Research Center for Mineral Pipeline Transportation YN, Kunming 650500, China.
Fauclty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China; Engineering Research Center for Mineral Pipeline Transportation YN, Kunming 650500, China.
ISA Trans. 2020 Feb;97:365-383. doi: 10.1016/j.isatra.2019.07.027. Epub 2019 Jul 31.
In order to overcome the influence of non-adaptive selection of non-stationary coefficient threshold of compound interpolation envelope (CIE) method on decomposition performance of local mean decomposition (LMD), a LMD method based on improved compound interpolation envelope (ICIE) is proposed in this paper. Firstly, combining the CIE with fractal box dimension, an improved envelope processing method, named ICIE, is proposed. Secondly, an improved LMD-based ICIE is presented and abbreviated as ICIELMD. Finally, three different data-sets, including simulation signal, rolling bearing data-sets from Case Western Reserve University (CWRU) and National Aeronautics and Space Administration (NASA), are used to complete the comparative experiments between the proposed ICIELMD and state-of-the-art methods (CIELMD) and demonstrate the effectiveness of the ICIELMD method. The experimental results show that the proposed method achieves comparable or slightly better than the other methods, and provides a new solution for complex signal analysis of rolling bearing faults.
为了克服复合插值包络（CIE）方法中非平稳系数阈值的非自适应选择对局部均值分解（LMD）分解性能的影响，本文提出了一种基于改进复合插值包络（ICIE）的LMD方法。首先，将CIE与分形盒维数相结合，提出了一种改进的包络处理方法，即ICIE。其次，提出了一种基于ICIE的改进LMD方法，并简称为ICIE-LMD。最后，使用包括仿真信号、美国凯斯西储大学（CWRU）和美国国家航空航天局（NASA）的滚动轴承数据集在内的三种不同数据集，完成了所提出的ICIE-LMD与现有方法（CIE-LMD）之间的对比实验，并验证了ICIE-LMD方法的有效性。实验结果表明，所提出的方法与其他方法相比具有相当或略优的性能，为滚动轴承故障的复杂信号分析提供了一种新的解决方案。
