Quantitative analysis of incipient fault detectability for time-varying stochastic systems based on weighted moving average approach

Author:

Gao Ming,Niu Yichun,Sheng LiORCID,Zhou Donghua

Funder

Natural Science Foundation of Shandong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference38 articles.

1. Fault detection of networked dynamical systems: a survey of trends and techniques;Ju;Int. J. Syst. Sci.,2021

2. Plug-and-play fault detection and isolation for large-scale nonlinear systems with stochastic uncertainties;Boem;IEEE Trans. Autom. Control,2019

3. Y. Niu, L. Sheng, M. Gao, D. Zhou, Distributed intermittent fault detection for linear stochastic systems over sensor networks, IEEE Trans. Cybern. 10.1109/TCYB.2021.3054123.

4. Fault-tolerant state estimation for stochastic systems over sensor networks with intermittent sensor faults;Niu;Appl. Math. Comput.,2022

5. Consensus control of linear multi-agent systems under actuator imperfection: when saturation meets fault;Gao;IEEE Trans. Syst. Man Cybern. Syst.,2021

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2. Incipient sensor fault detection for time-varying stochastic systems under Kalman filtering framework;2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS);2023-09-22

3. Particle Filter-Based Fault Detection for Toolface Measurement of Rotary Steerable Systems;IEEE Transactions on Instrumentation and Measurement;2023

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