A LLE-based approach to sensor fault detection

Document Type

Conference Proceeding

Publication Date

11-24-2008

Abstract

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. © 2008 IEEE.

Publication Source (Journal or Book title)

Proceedings of the International Joint Conference on Neural Networks

First Page

2425

Last Page

2429

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