scholarly journals A data-driven approach to actuator and sensor fault detection, isolation and estimation in discrete-time linear systems

Automatica ◽  
2017 ◽  
Vol 85 ◽  
pp. 165-178 ◽  
Author(s):  
Esmaeil Naderi ◽  
K. Khorasani
Keyword(s):  
Fault Detection ◽  
Linear Systems ◽  
Discrete Time ◽  
Data Driven ◽  
Sensor Fault ◽  
Data Driven Approach ◽  
Sensor Fault Detection ◽  
Time Linear

Sensor-Fault Detection, Isolation and Accommodation for Digital Twins via Modular Data-Driven Architecture

2020 ◽  
pp. 1-1
Author(s):  
Hossein Darvishi ◽  
Domenico Ciuonzo ◽  
Eivind Roson Eide ◽  
Pierluigi Salvo Rossi
Keyword(s):  
Fault Detection ◽  
Data Driven ◽  
Sensor Fault ◽  
Digital Twins ◽  
Modular Data ◽  
Sensor Fault Detection

scholarly journals A Data-Driven Scheme for Fault Detection of Discrete-Time Switched Systems

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4138
Author(s):  
Hao Zhao ◽  
Hao Luo ◽  
Yunkai Wu
Keyword(s):  
Fault Detection ◽  
Discrete Time ◽  
Switched Systems ◽  
Sufficient Conditions ◽  
Data Driven ◽  
Matching Problem ◽  
Practical Applications ◽  
Data Driven Approach ◽  
Decision Logic ◽  
Residual Generator

This paper is concerned with the fault detection issue for a class of discrete-time switched systems via the data-driven approach. For the fault detection of switched systems, it is inevitable to consider the mode matching problem between the activated subsystem and the executed residual generator since the mode mismatching may cause a false fault alarm in all probability. Frequently, studies assume that the switching laws are available to the residual generator, by which the residual generator keeps the same mode as the system plant and then the mode mismatching is excluded. However, this assumption is conservative and impractical because many switching laws are hard to acquire in practical applications. This work focuses on the case of switched systems with unavailable switching laws. In view of the unavailability of switching information, the mode recognition is considered for the fault detection process and meanwhile, sufficient conditions are presented for the mode distinguishability. Moreover, a novel decision logic for the fault detection is proposed, based on which new algorithms are established for the data-driven realization. Finally, a benchmark case on a three-tank system is used to illustrate the feasibility and usefulness of the obtained results.

Event-triggered fault detection and isolation for discrete-time linear systems

2016 ◽  
Vol 10 (5) ◽  
pp. 526-533 ◽  
Author(s):  
Shahram Hajshirmohamadi ◽  
Farid Sheikholeslam ◽  
Nader Meskin ◽  
Mohammadreza Davoodi
Keyword(s):  
Fault Detection ◽  
Linear Systems ◽  
Discrete Time ◽  
Fault Detection And Isolation ◽  
Time Linear ◽  
Event Triggered
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