An Improved LLE-Based Approach to Fault Diagnosis of Nonlinear System
Zhang We · Dianzi xuebao · 2015
It is quite a difficult problem of fault detection in nonlinear system.In this paper,a new method based on LLE is proposed to solve the problem.Firstly,tangent space distance is introduced to LLE(Locally Linear Embedding) algorithm,which can satisfy the hypothesis of locally linear patch of LLE,and so it can preserve the local manifold features of the original data better.And then,fault state is combined with special distribution to complete the fault detection.Out of sample extension is also considered,and combined with fault detection algorithm,which can reduce computation obviously and improves real time capability of the Thereby algorithm,provides a new effective method for the fault diagnosis of complicated nonlinear system.