Paper Info
Title
Fault diagnosis for time-varying systems with multiplicative noises over sensor networks subject to Round-Robin protocol.
Abstract
In this paper, the fault diagnosis problem is investigated for time-varying systems with multiplicative noises over sensor networks. The system model is subject to state- and control-dependent noises, and the Round-Robin protocol is applied in sensor networks to prevent data collisions. By means of the least-squares approach, a series of fault estimation filters are designed for the addressed system, and each filter can estimate the augmented state which includes system state and a fault signal. According to residual signals, several evaluation functions are derived and one of them is selected for the purpose of fault detection. By employing the residual matching method, the filter with least evaluation function can be used to isolate and estimate the occurred fault. A numerical example is provided to demonstrate the effectiveness of our proposed fault diagnosis scheme.
Year
DOI
Venue
2019
10.1016/j.neucom.2018.08.087
Neurocomputing
Keywords
Field
DocType
Time-varying systems,Fault diagnosis,Sensor networks,Multiplicative noises,Round-Robin protocol
Residual,Multiplicative function,Pattern recognition,Fault detection and isolation,Algorithm,Evaluation function,Artificial intelligence,Wireless sensor network,Mathematics,System model
Journal
Volume
ISSN
Citations 
346
0925-2312
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Ming Gao1798.36
Sen Yang23411.82
Li Sheng312515.24
Dong-Hua Zhou41833129.73