利用 Dempster-Shafer 证据理论诊断无人机系统故障

IF 2.2 3区 工程技术 Q2 ENGINEERING, MECHANICAL
Actuators Pub Date : 2024-07-12 DOI:10.3390/act13070264
Nikun Liu, Zhenfeng Zhou, Lijun Zhu, Yixin He, Fanghui Huang
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引用次数: 0

摘要

无人机系统(UAS)在军事、民用和商业领域有着广泛的应用,包括军事侦察、航空摄影、环境监测、精准农业、物流和救援行动等,为各行各业提供了高效、安全和经济高效的解决方案。为确保无人机系统稳定可靠地运行,故障诊断至关重要,它可以提高安全性,最大限度地降低潜在风险和损失。然而,现有的故障诊断方法大多依赖单一物理量作为主要信息源,或仅考虑单一时刻的故障数据,导致诊断精度低、可靠性有限等难题。针对这一问题,本文提出了一种基于时空域加权信息融合的无人机系统故障诊断方法。首先,针对空间域不同故障特征的数据构建高斯故障模型。然后,使用加权系数法将故障数据与高斯故障模型匹配,生成基本概率赋值(BPA)。然后,采用实现 Dempster-Shafer (D-S) 证据理论的 Dempster 组合规则来融合生成的 BPA。在此基础上,进行木偶概率变换以确定故障类型。最后,数值结果证明了所提出的故障诊断方法在准确识别无人机系统故障类型方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault Diagnosis of Unmanned Aerial Systems Using the Dempster–Shafer Evidence Theory
Unmanned aerial systems (UASs) find diverse applications across military, civilian, and commercial sectors, including military reconnaissance, aerial photography, environmental monitoring, precision agriculture, logistics, and rescue operations, offering efficient, safe, and cost-effective solutions to various industries. To ensure the stable and reliable operation of UASs, fault diagnosis is essential, which can enhance safety, and minimize potential risks and losses. However, most existing fault diagnosis methods rely on a single physical quantity as the primary information source or solely consider fault data at a single moment, leading to challenges of low diagnostic accuracy and limited reliability. Aimed at this problem, this paper presents a fault diagnosis method based on time–space domain weighted information fusion for UASs. First, the Gaussian fault model is constructed for the data with different fault features in the space domain. Next, the weighted coefficient method is used to generate the basic probability assignment (BPA) by matching the fault data with the Gaussian fault model. Then, the Dempster’s combination rule, which enables the Dempster–Shafer (D-S) evidence theory, is adopted to fuse the generated BPAs. Based on this, the pignistic probability transformation is performed to determine the fault type. Finally, numerical results demonstrate the effectiveness of the proposed fault diagnosis method in accurately identifying the fault types of UASs.
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来源期刊
Actuators
Actuators Mathematics-Control and Optimization
CiteScore
3.90
自引率
15.40%
发文量
315
审稿时长
11 weeks
期刊介绍: Actuators (ISSN 2076-0825; CODEN: ACTUC3) is an international open access journal on the science and technology of actuators and control systems published quarterly online by MDPI.
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