自动化学报2017，Vol.43Issue(2)：259-270,12.DOI:10.16383/j.aas.2017.c150775
考虑不确定测量和个体差异的非线性随机退化系统剩余寿命估计
Remaining Useful Life Estimation for Nonlinear Stochastic Degrading Systems with Uncertain Measurement and Unit-to-unit Variability
摘要
Abstract
Remaining useful life (RUL) estimation is essential for the prognostics and health management of systems,and is the effective path to mitigate system risk and improve the system safety and reliability.For the extensively encountered practical degradation systems with nonlinearity and stochasticity,the current methods to estimate RUL only consider uncertain measurement or unit-to-unit variability,but not both simultaneously.In this paper,a nonlinear degradation model is built based on a nonlinear diffusion degradation process to incorporate the uncertain measurement and unit-tounit variability into the estimated RUL.By constructing a state-space model and applying Kalman filtering technique,an analytical form of the RUL distribution is derived.In addition,the RUL estimation and drift coefficient efficient can be adaptively updated with the available observations.Finally,two cases study for aluminium alloy in aircraft and gyros are provided to verify the presented method.The results illustrate that the presented method can generate better results than only considering uncertain measurement or unit-to-unit variability,and thus can be potentially applied in practice.关键词
非线性/不确定测量/个体差异/剩余寿命/估计Key words
Nonlinear/uncertain measurement/unit-to-unit variability/remaining useful life (RUL)/estimation引用本文复制引用
郑建飞,胡昌华,司小胜,张正新,张鑫..考虑不确定测量和个体差异的非线性随机退化系统剩余寿命估计[J].自动化学报,2017,43(2):259-270,12.基金项目
国家自然科学基金(61174030,61374126,61473094,61573365,61573366)资助 Supported by National Natural Science Foundation of China (61174030,61374126,61473094,61573365,61573366) （61174030,61374126,61473094,61573365,61573366）
