A LLE-based approach to sensor fault detection

A LLE-based approach to sensor fault detection
复制标题

DOI：
10.1109/ijcnn.2008.4634135
复制
发表时间：
2008-06
期刊：
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)
影响因子：
--
通讯作者：
Wei Zhang;Bo Li;W. Zhou
Wei Zhang;Bo Li;W. Zhou
中科院分区：
其他
文献类型：
--
作者：
Wei Zhang;Bo Li;W. Zhou

文献摘要

被引文献

相似文献

特征提取在传感器故障检测中有着广泛的应用。常用的特征提取方法如主成分分析和多元统计分析等都涉及到线性时不变系统的信号处理，在处理非线性系统时效率较低。在本文中，我们将提出采用局部线性嵌入(LLE)的概念来解决故障检测问题，并对其进行了一定的改进，使局部线性嵌入方法在提取信号特征时更加高效和稳健。实验结果验证了改进的LLE方法的有效性。
Feature extraction has been widely used in sensor fault detection. Commonly used feature extraction methods such as PCA and MDS involve signal process of liner time-invariant systems, which are less effective in dealing with the nonlinear systems. In this paper, we will present that Local Linear Embedding (LLE) concept is adopted to solve the fault detection problems and that certain enhancement have been made to make LLE approach more efficient and robust in the extraction of signal features. Test results are given to demonstrate the effectiveness of the enhanced LLE method.