Quantitative Fault Diagnostics of Hydraulic Cylinder Using Particle Filter

IF 2.1 3区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Machines Pub Date : 2023-11-12 DOI:10.3390/machines11111019

Yakun Zhang, Andrea Vacca, Guofang Gong, Huayong Yang

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引用次数: 0

Abstract

Condition-based hydraulic cylinder maintenance necessitates quantitative fault diagnostics. However, existing methods are characterized by either qualitative or limited quantitative capabilities. In this paper, a quantitative fault diagnostic method using a particle filter for hydraulic cylinders is proposed. The problem of quantitative fault diagnostics is formally formulated in a stochastic framework to assess the health/fault state, and an architecture based on joint state-parameter estimation is proposed. Through the establishment and analysis of a nonlinear dynamic model of the hydraulic cylinder, the impact of time-varying parameters on the state variables is revealed. Three fault modes of the cylinder, including friction, internal leakage, and external leakage, are theoretically identified. The proposed method allows for a simultaneous quantitative diagnosis of these three fault modes. The performance of the proposed method is evaluated using meticulously designed experiments. The results demonstrate that the mean absolute percentage errors in the parameter estimations are below 9% (accuracy exceeding 91%), thus validating its feasibility and effectiveness.

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基于粒子滤波的液压缸定量故障诊断

基于状态的液压缸维修需要定量的故障诊断。然而，现有方法的特点是要么是定性的，要么是有限的定量能力。提出了一种基于粒子滤波的液压缸定量故障诊断方法。将定量故障诊断问题形式化地表述为健康/故障状态评估的随机框架，提出了一种基于状态-参数联合估计的故障诊断体系结构。通过对液压缸非线性动力学模型的建立和分析，揭示了时变参数对状态变量的影响。从理论上确定了气缸的摩擦、内泄漏和外泄漏三种故障模式。所提出的方法允许同时定量诊断这三种故障模式。通过精心设计的实验对所提出方法的性能进行了评估。结果表明，参数估计的平均绝对百分比误差在9%以下(精度超过91%)，从而验证了该方法的可行性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Machines Multiple-

CiteScore

3.00

自引率

26.90%

发文量

1012

审稿时长

11 weeks

期刊介绍： Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering. It publishes research articles, reviews, short communications and letters. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided. There are, in addition, unique features of this journal: *manuscripts regarding research proposals and research ideas will be particularly welcomed *electronic files or software regarding the full details of the calculation and experimental procedure - if unable to be published in a normal way - can be deposited as supplementary material Subject Areas: applications of automation, systems and control engineering, electronic engineering, mechanical engineering, computer engineering, mechatronics, robotics, industrial design, human-machine-interfaces, mechanical systems, machines and related components, machine vision, history of technology and industrial revolution, turbo machinery, machine diagnostics and prognostics (condition monitoring), machine design.