线性过程系统网络中的故障隔离和估计
Wijaya Kurniawan1, Katalin M Hangos1,2, Lőrinc Márton3
1Department of Electrical Engineering and Information Systems, University of Pannonia, 8200 Veszprem, Hungary.
Entropy (Basel, Switzerland)
|June 28, 2023
概括
本研究引入了一种新的故障检测和隔离方法,用于带有循环的联网线性系统. 该方法准确地识别了复杂网络结构中的故障组件,提高了系统可靠性.
科学领域:
- 控制系统工程 控制系统工程
- 网络系统分析 网络系统分析
- 错误诊断 错误诊断 在
背景情况:
- 复杂的网络系统需要强大的故障检测和隔离 (FDI).
- 由于故障传播,网络循环使外国直接投资复杂化.
- 现有的方法与循环诱导的故障复杂性作斗争.
研究的目的:
- 为带有循环的联网线性过程系统开发有效的FDI程序.
- 为应对循环网络结构中故障传播所带来的挑战.
- 提出一种方法,用于在网络循环中定位故障元件.
主要方法:
- 网络元件使用了双输入单输出 (2ISO) 线性时间不变 (LTI) 状态空间模型.
- 采用稳定状态分析和叠加原理来分析故障效应.
- 开发了一个干扰观察器,灵感来自比例积分 (PI) 观察器,用于断层大小估计.
主要成果:
- 成功提出了一个故障检测和隔离程序,确定网络循环中的故障元件.
- 引入了一个干扰观察器,以准确估计故障大小.
- 在 MATLAB/Simulink 中通过两个模拟案例研究验证了方法.
结论:
- 拟议的FDI方法有效地处理带有循环的网络系统中的故障传播.
- 该方法提高了复杂线性系统的可靠性和诊断能力.
- 模拟结果证实了开发的故障隔离和估计技术的有效性.
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