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| 基于模型的CICA及其在滚动轴承故障诊断中的应用 | |
| 引用本文： | 王志阳,杜文辽,陈进.基于模型的CICA及其在滚动轴承故障诊断中的应用[J].振动与冲击,2015,34(8):66-70. |
| 作者姓名： | 王志阳 杜文辽 陈进 |
| 作者单位： | 1.河南理工大学 机械与动力工程学院， 焦作 454000; 2.郑州轻工业学院 机电工程学院， 郑州 4540002 3.上海交通大学 机械系统与振动国家重点实验室， 上海 200240 |
| 摘 要： | 由独立成分分析（ICA）的顺序不确定性带来的源数估计和对传感器个数的估计问题使得ICA在机械故障诊断中的广泛应用受到了限制，而约束独立成分分析（CICA）充分利用了设备的先验知识作为ICA的约束条件，可以使ICA算法收敛到感兴趣的故障信号。本文提出了一种基于滚动轴承模型的约束独立成分分析（CICA）方法，该方法可以从传感器信号中快速诊断出设备是否发生了滚动轴承故障，并用仿真和实验验证了该方法在滚动轴承故障诊断中的有效性。 |
| 关 键 词： | 独立成分分析 约束独立成分分析 盲源分离 机械故障诊断 滚动轴承 |
Fault Diagnosis of Rolling Element Bearing Based on Model-based Constrained Independent Component Analysis |
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| Wang Zhiyang,Du Wenliao,Chen Jin.Fault Diagnosis of Rolling Element Bearing Based on Model-based Constrained Independent Component Analysis[J].Journal of Vibration and Shock,2015,34(8):66-70. | |
| Authors: | Wang Zhiyang Du Wenliao Chen Jin |
| Affiliation: | 1.School of Mechanics and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China 2. Mechanical and Electrical Engineering Institute, Zhengzhou University of Light Industry, zhengzhou 454002, China 3. State Key Lab. of Mechanism and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China |
| Abstract: | The order ambiguity from independent component analysis (ICA) makes it very difficult to estimate the numbers of sources and sensors. Constrained independent component analysis (CICA) can only converge to the desired faulty signal using some prior knowledge from the machinery as a constraint. This paper presents a model-based constrained independent component analysis method for fault diagnosis of rolling element bearing, and it is successfully verified by computation simulation and rolling element bearing experiment. |
| Keywords: | Independent component analysis Constrained independent component analysis Blind source separation Machine fault diagnosis Rolling element bearing " target="_blank">')" href="#">Rolling element bearing |
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