Fault Identification for High-Speed Vehicle Suspension System Using Nonlinear Filtering

机译：基于非线性滤波的高速车辆悬架系统故障识别

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Suspension system is vital important to safe operation of the high-speed vehicle. Parameter estimation is a new way for fault identification of suspension system by monitoring parameter attenuation and sudden failure of key components. A lateral dynamic model is built in this paper, based on which a nonlinear filtering algorithm called Rao-Blackwellized Particle Filter (RBPF) is applied for parameter estimation. Furthermore, RBPF based on repeat-uniform-sampling strategy is proposed for avoiding impoverishment of parameter particles, and fault identification of sudden failure is realized. Simulation results show that algorithms proposed and studied in this paper are effective and reliable with high accuracy.

机译：悬架系统对于高速车辆的安全运行至关重要。通过监测参数衰减和关键部件的突然失效，参数估计是悬架系统故障识别的一种新方法。本文建立了一个横向动力学模型，在此模型的基础上，将一种非线性滤波算法Rao-Blackwellized Particle Filter（RBPF）应用于参数估计。为了避免参数粒子的恶化，提出了基于重复均匀采样策略的RBPF算法，实现了突发故障的故障识别。仿真结果表明，本文提出和研究的算法高效，可靠，准确度高。

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《Proceedings of the 3rd international conference on electrical and information technologies for rail transportation: transportation》|2017年|271-280|共10页
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作者
Xiaozhong Zhang; Xiukun Wei; Limin Jia;
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State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, Haidian District, Beijing, People's Republic of China;

State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, Haidian District, Beijing, People's Republic of China;

State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, Haidian District, Beijing, People's Republic of China;

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正文语种 eng
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关键词
Fault identification; Parameter estimation; RBPF; Repeat-uniform-sampling strategy;

机译：故障识别；参数估计； RBPF；重复均匀采样策略;

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专利

1. Internal resonance vibration induced by nonlinearity of primary suspension system in high-speed vehicle system [J] . Liu Yu Biao, Xing Yun Lin, Law S. S., Nonlinear dynamics . 2017,第4期

机译：高速车辆系统中初级悬架系统非线性诱导的内部共振振动
2. ToMFIR-based incipient fault detection and estimation for high-speed rail vehicle suspension system [J] . Wu Yunkai, Jiang Bin, Lu Ningyun, Journal of the Franklin Institute . 2015,第4期

机译：基于ToMFIR的高铁车辆悬架系统早期故障检测与估计
3. Sky-Hook Control and Kalman Filtering in Nonlinear Model of Tracked Vehicle Suspension System [J] . Andrzej Jurkiewicz, Janusz Kowal, Kamil Zaj?c Acta Mechanica et Automatica . 2017,第3期

机译：履带车辆悬架系统非线性模型的空钩控制和卡尔曼滤波。
4. Fault Identification for High-Speed Vehicle Suspension System Using Nonlinear Filtering [C] . Xiaozhong Zhang, Xiukun Wei, Limin Jia International conference on electrical and information technologies for rail transportation: transportation . 2018

机译：使用非线性滤波的高速车辆悬架系统故障识别
5. Nonlinear filtering and system identification algorithms for autonomous systems. [D] . Brunke, Shelby Scott. 2001

机译：自治系统的非线性滤波和系统识别算法。
6. Estimation of Traffic Stream Density Using Connected Vehicle Data: Linear and Nonlinear Filtering Approaches [O] . Mohammad A. Aljamal, Hossam M. Abdelghaffar, Hesham A. Rakha 2020

机译：使用连接的车辆数据估计交通流量密度：线性和非线性滤波方法
7. Sky-Hook Control and Kalman Filtering in Nonlinear Model of Tracked Vehicle Suspension System [O] . Jurkiewicz Andrzej, Kowal Janusz, Zając Kamil 2017

机译：履带车辆悬架系统非线性模型的sky-Hook控制与卡尔曼滤波
8. Simple Active Aerodynamic Suspension Systems for High-Speed Ground Vehicles. [R] . Stearman, R. O., Russell, P. E., Nolte, E. P. 1973

机译：用于高速地面车辆的简单主动气动悬架系统。

Fault Identification for High-Speed Vehicle Suspension System Using Nonlinear Filtering

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