和动态系统的故障重建方法使用自适应估计和优化

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Updated: May 20, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

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Zhi-Wei Gao¹, Qiang Huang¹, Yuanhong Liu¹

¹Research Centre for Digitalization and Intelligent Diagnosis to New Energies, College of Electrical and Information Engineering, Northeast Petroleum University, Daqing, China.

ISA transactions

|March 25, 2025

概括

本研究引入了一种使用自适应估计的复杂工业系统实时故障检测和诊断的新方法. 该技术有效地重建故障和和的输入信号,提高系统的安全性和可靠性.

科学领域:

控制系统工程控制系统工程
故障诊断和故障耐受性控制
系统识别和自适应控制

背景情况:

现代工业系统面临着日益复杂的复杂性,要求更高的安全性和可靠性.
早期故障检测和严重程度评估对于防止性能下降至关重要.

研究的目的:

为和动态系统开发实时监控和故障重建技术.
为应对系统异常和性能下降所带来的挑战.

主要方法:

利用实时输入和输出数据进行监控和故障重建.
采用自适应估计和优化技术,包括未知输入解.
分隔和信号,重建超和输入和添加式故障.

主要成果:

成功重建了添加式故障和超和输入信号.
证明了重建和输入信号的能力,即使无法测量.
验证了离线设计和实时实现,以获得卓越的性能.

结论:

拟议的自适应估计方法有效地提高了和动态系统中的故障诊断.
该方法为复杂的工业应用提供了安全性和可靠性的显著改进.
在飞机和机器人系统上被证明适用.

关键词:

飞机系统飞机系统飞机系统断层重建断层重建实时数据实时数据.实时监控实时监控机器人系统机器人系统和动态系统是和的动态系统.未知不确定性未知不确定性

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