Ihor Ohanian, Sergiy Yepifanov
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摘要

本文研究的是飞行器液压和燃油系统各部件技术状态的参数化诊断方法,以保证液压和燃油系统在整个生命周期内达到既定的可靠性指标。本工作旨在分析现有液压单元参数化诊断方法的文献,确定液压、燃油系统单元诊断方法发展的基本要求。本研究的目的是对主要应用于液压系统的现有参数诊断方法进行分类,根据作者建立的诊断算法的要求,分析所考虑的算法的优缺点,并评估有效使用这些方法诊断复杂液压分配单元技术状况的可能性。这项工作的作者根据检测到的缺陷的性质,使用诊断算法的经验,以及现有标准和科学出版物分析的要求,形成了诊断液压和燃料系统单元方法的主要要求。作者开发了一个分类的参数诊断算法系统化现有的工作。本文描述了基于对象数学模型识别方法的诊断算法与基于测量参数空间的诊断算法的主要特点和区别。分析了液压单元诊断模型的形成方法,如状态空间模型、Hammerstein模型、Volterra模型、ARX模型和影响系数矩阵。建立了缺陷识别算法的应用分析,如分差滤波(DDF)、径向基函数神经网络RBF和余弦距离法。在此基础上,分析了各种监测诊断算法的优缺点,确定了开发复杂液压配流装置技术状态参数诊断算法的主要任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Огляд методів параметричного діагностування агрегатів гідравлічних і паливних систем літальних апаратів
The subject of study in this article is the methods of parametric diagnostics of the technical condition of the units of an air vehicle's hydraulic and fuel systems, which make it possible to ensure the established reliability indicators of these systems throughout their entire life cycle. This work aims to analyze the existing literature on the methods of parametric diagnostics of hydraulic units, determine the basic requirements for the development of diagnostic methods for units of hydraulic, and fuel systems. The objective of the study is to classify the existing methods of parametric diagnostics, applied primarily to hydraulic systems, to analyze the advantages and disadvantages of the algorithms under consideration based on the requirements for diagnostic algorithms established by the authors, and to assess the possibility of effectively using these methodologies to diagnose the technical condition of a complex hydraulic distribution unit. The authors of this work formed the main requirements for the methods of diagnosing a hydraulic and fuel system's units based on the nature of the detected defects, the experience of using diagnostic algorithms, as well as the requirements of existing standards and scientific publications analysis. The authors developed a classification of parametric diagnostic algorithms to systematize existing works. This paper describes the main features and differences between diagnostic algorithms based on methods for identifying a mathematical model of an object and diagnostic algorithms in the space of measured parameters. Methods for forming diagnostic models of hydraulic units have been analyzed, such as the state-space model, the Hammerstein model, the Volterra model, the ARX model, and the matrix of influence coefficients. Established analysis of the application of defect identification algorithms such as a divided difference filter (DDF), a radial basis functions neural network RBF, and a cosine distance method. As a result, the advantages and disadvantages of the monitored diagnostic algorithms were identified and the main tasks for developing an algorithm for parametric diagnostics of the technical condition of a complex hydraulic distribution unit were formulated.
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