非平稳系统故障识别方法

A. Zuev, A. Zhirabok, V. Filaretov, A. Protsenko
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引用次数: 0

摘要

本文提出了一种基于非平稳非线性微分方程的机电系统故障识别新方法。在滑模中工作的观测器被用来解决这个问题。提出的方法是基于构造原始系统的降维模型的思想,该模型对故障和干扰具有选择性敏感性。引入这种模型的主要目的是能够考虑到系统的非平稳性。通过一个实例说明了所述的理论。关键词故障识别,非平稳系统,观测器。这项工作得到了俄罗斯基础研究基金会(项目编号:1)的支持。20-38-70161),也部分由俄罗斯联邦总统授予,SP-3252.2019.5。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method of faults identification in non-stationary systems
The article presents a new method for faults identification in mechatronic systems, described by non-stationary nonlinear differential equations, in the presence of perturbations. Observers working in a sliding mode are used to solve the problem. The proposed approach is based on the idea of constructing a reduced (with lower dimension) model of the original system with selective sensitivity to faults and disturbances. The main purpose of introducing such a model is the ability to take into account the nonstationarity of the system. The stated theory is illustrated by a practical example. Key words Fault identification, non-stationary systems, observers. Acknowledgements The work was supported by the Russian Foundation for Basic Research (project no. 20-38-70161), and also partially by the grant of the President of the Russian Federation, SP-3252.2019.5.
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