A unified framework for fault detection and isolation of sensor and actuator biases in linear time invariant systems using marginalized likelihood ratio test with uniform priors

2013 ◽  
Vol 23 (9) ◽  
pp. 1350-1361 ◽  
Author(s):  
F. Kiasi ◽  
J. Prakash ◽  
S. Patwardhan ◽  
S.L. Shah
Keyword(s):  
Fault Detection ◽  
Likelihood Ratio ◽  
Likelihood Ratio Test ◽  
Linear Time ◽  
Fault Detection And Isolation ◽  
Ratio Test ◽  
Unified Framework ◽  
Linear Time Invariant ◽  
Linear Time Invariant Systems ◽  
Time Invariant

scholarly journals A Survey on Model-Based Fault Detection Techniques for Linear Time-Invariant Systems with Numerical Analysis

2021 ◽  
Vol 30 (1) ◽  
pp. 53-78
Author(s):  
Masood Ahmad ◽  
Rosmiwati Mohd-Mokhta
Keyword(s):  
Fault Detection ◽  
Linear Time ◽  
Fault Detection And Isolation ◽  
Estimation Methods ◽  
Future Research ◽  
Practical Applications ◽  
Detection Techniques ◽  
Linear Time Invariant ◽  
Model Based ◽  
Time Invariant

With the ongoing increase in complexity, less tolerance to performance degradation and safety requirements of practical systems has increased the necessity of fault detection (FD) as early as possible. During the last few decades, many research findings have been developed in fault diagnosis that addresses the issue of fault detection and isolation in linear and nonlinear systems. The paper’s objective is to present a survey on various state-of-art model-based FD techniques developed for linear time-invariant (LTI) systems for the interested readers to learn about recent development in this field. Model-based FD techniques for LTI systems are classified as parameter-estimation methods, parity-space-based methods, and observer-based methods. The background and recent progress, in context to fault detection, of each of these methods and their practical applications are discussed in this paper. Furthermore, two different FD techniques are compared via analytical equations and simulation results obtained from the DC motor model. In the end, possible future research directions in model-based FD, particularly for the LTI system, are highlighted for prosperous researchers. A comparison and emerging research topic make this contribution different from the existing survey papers on FD.

scholarly journals On Fault Detection in Linear Discrete-Time, Periodic, and Sampled-Data Systems

2008 ◽  
Vol 2008 ◽  
pp. 1-18 ◽  
Author(s):  
P. Zhang ◽  
S. X. Ding
Keyword(s):  
Fault Detection ◽  
Linear Time ◽  
Periodic Systems ◽  
Data Systems ◽  
Sampled Data ◽  
Linear Time Invariant ◽  
Linear Time Invariant Systems ◽  
Problem Formulations ◽  
Time Invariant ◽  
Time Periodic

This paper gives a review of some standard fault-detection (FD) problem formulations in discrete linear time-invariant systems and the available solutions. Based on it, recent development of FD in periodic systems and sampled-data systems is reviewed and presented. The focus in this paper is on the robustness and sensitivity issues in designing model-based FD systems.

scholarly journals Consideration of Gyroscopic Effect in Fault Detection and Isolation for Unbalance Excited Rotor Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Zhentao Wang ◽  
Arne Wahrburg ◽  
Stephan Rinderknecht
Keyword(s):  
Fault Detection ◽  
System Dynamics ◽  
Linear Time ◽  
Fault Detection And Isolation ◽  
Test Rig ◽  
Model Uncertainties ◽  
Gyroscopic Effect ◽  
Rotor Systems ◽  
Linear Time Invariant ◽  
Time Invariant

Fault detection and isolation (FDI) in rotor systems often faces the problem that the system dynamics is dependent on the rotor rotary frequency because of the gyroscopic effect. In unbalance excited rotor systems, the continuously distributed unbalances are hard to be determined or estimated accurately. The unbalance forces as disturbances make fault detection more complicated. The aim of this paper is to develop linear time invariant (LTI) FDI methods (i.e., with constant parameters) for rotor systems under consideration of gyroscopic effect and disturbances. Two approaches to describe the gyroscopic effect, that is, as unknown inputs and as model uncertainties, are investigated. Based on these two approaches, FDI methods are developed and the results are compared regarding the resulting FDI performances. Results are obtained by the application in a rotor test rig. Restrictions for the application of these methods are discussed.

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