Unscented particle filter and log likelihood ratio based fault diagnosis of nonlinear system in non-Gaussian noises

被引：1
|
作者：
Ge, Zhexue [1 ]
Yang, Yongmin [1 ]
Hu, Zheng [1 ]
Chen, Zhongsheng [1 ]
机构：
[1] College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China
来源：
Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering | 2007年 / 43卷 / 10期
关键词：
Nonlinear systems;
D O I：
10.3901/JME.2007.10.027
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：27 / 31
相关论文
共 50 条
  • [1] Speech enhancement based unscented particle filter with non-gaussian noises
    Yin, Wei
    Yi, Ben-Shun
    Shen, Xiao-Feng
    [J]. Dianbo Kexue Xuebao/Chinese Journal of Radio Science, 2009, 24 (03): : 476 - 481
  • [2] Simplified unscented particle filter for nonlinear/non-Gaussian Bayesian estimation
    Junyi Zuo
    Yingna Jia
    Quanxue Gao
    [J]. Journal of Systems Engineering and Electronics, 2013, 24 (03) : 537 - 544
  • [3] Simplified unscented particle filter for nonlinear/non-Gaussian Bayesian estimation
    Zuo, Junyi
    Jia, Yingna
    Gao, Quanxue
    [J]. JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2013, 24 (03) : 537 - 544
  • [4] Fault Detection and Isolation in Stochastic Nonlinear Systems using Unscented Particle Filter based Likelihood Ratio Approach
    Jayaprasanth, D.
    Kanthalakshmi, S.
    [J]. CONTROL ENGINEERING AND APPLIED INFORMATICS, 2018, 20 (01): : 75 - 85
  • [5] High-order Unscented Transformation Based on the Bayesian Learning for Nonlinear Systems with Non-Gaussian noises
    Hou, Jiaxin
    Zhou, Weidong
    Zhang, Wen-An
    Zhang, Cong
    Chen, Chen
    Shan, Chenghao
    [J]. 2019 15TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS 2019), 2019, : 26 - 30
  • [6] Active fault diagnosis of 2 DoF helicopter using particle filter-based log-likelihood ratio
    Kanthalakshmi, S.
    Raghappriya, M.
    [J]. INTERNATIONAL JOURNAL OF CONTROL, 2022, 95 (11) : 3148 - 3165
  • [7] Bayesian Unscented Kalman Filter for State Estimation of Nonlinear and Non-Gaussian Systems
    Liu, Zhong
    Chan, Shing-Chow
    Wu, Ho-Chun
    Wu, Jiafei
    [J]. 2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2016, : 443 - 447
  • [8] SVRPF: An Improved Particle Filter for a Nonlinear/Non-Gaussian Environment
    Qiang, Xingzi
    Zhu, Yanbo
    Xue, Rui
    [J]. IEEE ACCESS, 2019, 7 : 151638 - 151651
  • [9] Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation
    Maken, Fahira Afzal
    Ramos, Fabio
    Ott, Lionel
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (02) : 5421 - 5428
  • [10] Nonlinear non-Gaussian system filtering based on Gaussian sum and divided difference filter
    Li, Zhen-Hua
    Ning, Lei
    Xu, Sheng-Nan
    [J]. Kongzhi yu Juece/Control and Decision, 2012, 27 (01): : 129 - 134
12345