一种基于改进LLE方法的传感器故障诊断方法研究

针对非线性系统传感器故障诊断难以解决的问题,提出了一种新的基于局部嵌入映射(LLE)的方法,解决了非线性数据的特征映射问题。首先,改进了基于分形维估计的内在维数的估计,通过线性拟合解决了线性区域的自动确定。然后,将故障状态与空间分布结合起来,通过确定数据点在空间超球内的分布完成故障的检测,在这个过程中将超球的确定与LLE算法中基于核函数的样本外数据扩展结合起来,大大减少了计算量,提高了算法的实时性,从而为复杂非线性传感器的故障诊断提供了一种新的有效的方法。

It is a quite difficult problem of sensor fault detection in nonlinear system.In this paper a new method based on LLE to solve the problem of nonlinear dimensionality reduction is proposed Firstly the method of intrinsic dimension estimation based on fractal dimension is improved And then sensor 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 imp...