Distributed Intermittent Fault Detection for Linear Stochastic Systems Over Sensor Network

2021 ◽  
pp. 1-11
Author(s):  
Yichun Niu ◽  
Li Sheng ◽  
Ming Gao ◽  
Donghua Zhou
Keyword(s):  
Fault Detection ◽  
Sensor Network ◽  
Stochastic Systems ◽  
Intermittent Fault ◽  
Linear Stochastic Systems

Particle filtering-based fault detection in non-linear stochastic systems

2002 ◽  
Vol 33 (4) ◽  
pp. 259-265 ◽  
Author(s):  
V. Kadirkamanathan ◽  
P. Li ◽  
M. H. Jaward ◽  
S. G. Fabri
Keyword(s):  
Fault Detection ◽  
Particle Filtering ◽  
Stochastic Systems ◽  
Linear Stochastic Systems ◽  
Non Linear

scholarly journals Intermittent Fault Detection for Nonlinear Stochastic Systems

2020 ◽  
Vol 53 (2) ◽  
pp. 694-698
Author(s):  
Yichun Niu ◽  
Li Sheng ◽  
Ming Gao ◽  
Donghua Zhou
Keyword(s):  
Fault Detection ◽  
Stochastic Systems ◽  
Nonlinear Stochastic Systems ◽  
Intermittent Fault

Event-triggered fault detection for linear stochastic systems

2017 ◽  
Vol 40 (12) ◽  
pp. 3449-3457
Author(s):  
Jinyong Yu ◽  
Zhaoke Ning ◽  
Yu Liu
Keyword(s):  
Fault Detection ◽  
Stochastic Systems ◽  
Detection Problem ◽  
Network Resources ◽  
Network Bandwidth ◽  
Filter Structure ◽  
Linear Stochastic Systems ◽  
The Mean ◽  
Release Strategy ◽  
Event Triggered

In this paper, the event-triggered fault-detection problem is investigated for Itô-type stochastic systems. A filter structure is used to construct a residual model for fault detection. For limited network resources, a novel event-triggered strategy is proposed, while a trigger condition is utilized to determine and transmit the useful data through the network. Compared with the traditional periodic release strategy, the proposed design approach can significantly reduce the utilization of network bandwidth. A new condition is proposed to achieve the mean-square asymptotical stability of the residual model with the desired fault-detection objective. A novel algorithm is derived to obtain the parameters of the filter and the event detector. Two simulation cases are provided to illustrate the effectiveness of the design strategy.

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