An improved local mean decomposition method based on improved composite interpolation envelope and its application in bearing fault feature extraction

Li Xiang; Ma Jun; Wang Xiaodong; Wu Jiande; Li Zhuorui

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An improved local mean decomposition method based on improved composite interpolation envelope and its application in bearing fault feature extraction

机译：一种改进的基于改进的复合插值包络的局部平均分解方法及其在轴承故障特征提取中的应用

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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. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.

机译：为了克服非自适应选择的非自适应系数阈值的非固定系数阈值（CIE）方法对局部平均分解（LMD）的分解性能，提出了一种基于改进的复合插值包络（冰）的LMD方法在本文中。首先，将CIE与分形箱尺寸的组合，提出了一种称为ICIE的改进的包络处理方法。其次，呈现了一种改进的基于LMD的ICIE和缩写为icielmd。最后，三种不同的数据集，包括仿真信号，从案例西部储备大学（CWRU）和美国国家航空航天局（NASA）的滚动轴承数据集，用于完成所提出的ICIELMD和国家之间的比较实验 - 技术方法（CIELMD）并证明ICIELMD方法的有效性。实验结果表明，该方法可比其他方法实现可比或略好，并为滚动轴承故障复杂信号分析提供了一种新的解决方案。（c）2019 ISA。 elsevier有限公司出版。保留所有权利。

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来源
《ISA Transactions》 |2020年第2020期|共19页
作者
Li Xiang; Ma Jun; Wang Xiaodong; Wu Jiande; Li Zhuorui;
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作者单位

Kunming Univ Sci &

Technol Faudty Informat Engn &

Automat Kunming 650500 Yunnan Peoples R China;

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原文格式 PDF
正文语种 eng
中图分类计量学;工业自动化仪表;
关键词
Improved local mean decomposition; Improved compound interpolation envelope; Hilbert demodulation; Kurtosis criterion; Fault feature extraction; Rolling bearings;

机译：改进的局部平均分解;改进的复合插值包络;希尔伯特解调;刚性分子标准;故障特征提取;滚动轴承;

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专利

1. An improved local mean decomposition method based on improved composite interpolation envelope and its application in bearing fault feature extraction [J] . Li Xiang, Ma Jun, Wang Xiaodong, ISA Transactions . 2020,第期

机译：一种改进的基于改进的复合插值包络的局部平均分解方法及其在轴承故障特征提取中的应用
2. Fault feature extraction method based on local mean decomposition Shannon entropy and improved kernel principal component analysis model: [J] . Jinlu Sheng, Shaojiang Dong, Zhu Liu, Advances in Mechanical Engineering . 2016,第8期

机译：基于局部均值分解香农熵和改进核主成分分析模型的故障特征提取方法：
3. An improved EMD method based on the multi-objective optimization and its application to fault feature extraction of rolling bearing [J] . Guo Tai, Deng Zhongmin Applied Acoustics . 2017,第deca期

机译：基于多目标优化的改进EMD方法及其在滚动轴承故障特征提取中的应用
4. Feature Extraction for Rolling Bearing Diagnosis Based on Improved Local Mean Decomposition [C] . Yang Liu, Bo Tang, Lixiang Duan, Prognostics and System Health Management Conference . 2018

机译：基于改进局部均值分解的滚动轴承诊断特征提取
5. Improved methods of vibration measurement, gear fault detection and bearing fault detection for gearbox diagnostics. [D] . Limmer, Joel David. 1997

机译：振动测量，齿轮故障检测和轴承故障检测的改进方法，用于齿轮箱诊断。
6. A New Method Based on Time-Varying Filtering Intrinsic Time-Scale Decomposition and General Refined Composite Multiscale Sample Entropy for Rolling-Bearing Feature Extraction [O] . Jianpeng Ma, Song Han, Chengwei Li, 2021

机译：一种基于时变滤波的新方法用于滚动轴承特征提取的时变滤波内在时间级分解和一般精制复合多尺度样本熵
7. Fault feature extraction method based on local mean decomposition Shannon entropy and improved kernel principal component analysis model [O] . Jinlu Sheng, Shaojiang Dong, Zhu Liu, 2016

机译：基于局部均值分解shannon熵和改进核主成分分析模型的故障特征提取方法

An improved local mean decomposition method based on improved composite interpolation envelope and its application in bearing fault feature extraction

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