scholarly journals Robust Detection of Minute Faults in Uncertain Systems Using Energy Activity

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1801
Author(s):  
Manarshhjot Singh ◽  
Anne-Lise Gehin ◽  
Belkacem Ould-Boaumama
Keyword(s):  
Fault Detection ◽  
Fault Tolerant ◽  
Integral Form ◽  
Fault Detection And Isolation ◽  
Detection Methods ◽  
Robust Detection ◽  
Detection Algorithms ◽  
Model Based ◽  
Tank System ◽  
Key Steps

Fault detection is one of the key steps in Fault Detection and Isolation (FDI) and, therefore, critical for subsequent prognosis or implementation of Fault Tolerant Control (FTC). It is, therefore, advisable to utilize detection algorithms which are quick and can detect the smallest faults. Model-based detection methods satisfy both these criteria and should be preferred. However, a big limitation for model-based methods is that they require the accurate value of the component parameters, which is difficult to obtain in real situations. This limits the accuracy of model-based methods. This paper proposes a new method for fault detection using Energy Activity (EA) which can detect minute levels of fault in systems with high component uncertainty. Different forms of EA are developed for use as an FDI metric. The proposed forms are simulated using a two-tank system under various types of faults. The results are compared with each other and with the traditional model-based FDI method using Analytical Redundancy Relations (ARRs). The simulations are performed considering model uncertainties to check the inherent performance of the methods. From initial simulations, it is established that the integral form of EA is most suited for fault detection. The integral for if EA is then tested using a real two-tank system considering both the model and measurement uncertainties.

Model-based fault-tolerant control for an automotive air suspension control system

2011 ◽  
Vol 225 (11) ◽  
pp. 1462-1480 ◽  
Author(s):  
Hyunsup Kim ◽  
Hyeongcheol Lee
Keyword(s):  
Control System ◽  
Fault Detection ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Fault Detection And Isolation ◽  
Model Based ◽  
System A ◽  
Air Suspension ◽  
Proposed Model ◽  
Suspension Control

This paper presents a new fault-tolerant control (FTC) algorithm for an automotive air suspension control (ASC) system. The FTC algorithm proposed in this paper provides the fault detection, diagnosis, and management of a closed-loop air suspension control system. A new model-based fault detection and isolation algorithm for the height sensors, which are critical but vulnerable components of the ASC system, is also proposed. The height sensor fault is detected on the basis of the geometric relationships of the suspension and is isolated by implementing the analytical redundancy of the height sensors using roll and pitch angle estimates derived by a Kalman filter. An adaptive threshold is designed and applied in order to enhance the robustness of the fault detection and isolation against model uncertainties. The effectiveness of the proposed model-based FTC algorithm is verified via simulation and actual vehicle tests.

scholarly journals A model-based approach to fault-tolerant control

2012 ◽  
Vol 22 (1) ◽  
pp. 67-86 ◽  
Author(s):  
Hans Niemann
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Theoretical Basis ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Fault Detection And Isolation ◽  
Systematic Technique ◽  
Model Based ◽  
Controller Parameterization

A model-based approach to fault-tolerant controlA model-based controller architecture for Fault-Tolerant Control (FTC) is presented in this paper. The controller architecture is based on a general controller parameterization. The FTC architecture consists of two main parts, a Fault Detection and Isolation (FDI) part and a controller reconfiguration part. The theoretical basis for the architecture is given followed by an investigation of the single parts in the architecture. It is shown that the general controller parameterization is central in connection with both fault diagnosis as well as controller reconfiguration. Especially in relation to the controller reconfiguration part, the application of controller parameterization results in a systematic technique for switching between different controllers. This also allows controller switching using different sets of actuators and sensors.

A toolbox for model-based fault detection and isolation

1999 ◽  
Author(s):  
L. Tesar ◽  
L. Berec ◽  
G. Dolanc ◽  
G. Szederkenyi ◽  
J. Kadlec ◽  
...  
Keyword(s):  
Fault Detection ◽  
Fault Detection And Isolation ◽  
Model Based

scholarly journals Overview of fault detection methods for power plant control systems purposes

2019 ◽  
pp. 127-129
Author(s):  
Dmytro Shram ◽  
Oleksandr Stepanets
Keyword(s):  
Fault Detection ◽  
Control Systems ◽  
Power Plants ◽  
Fault Detection And Isolation ◽  
Data Driven ◽  
Detection Methods ◽  
Model Free ◽  
Power Plant Control ◽  
Technical Details ◽  
Plant Control

The main objective of this paper is to review of fault detection and isolation (FDI) methods and applications on various power plants. Due to the focus of the topic, on model and model-free FDI methods, technical details were kept in the references. We will overview the methods in terms of model-based, data driven and signal based methods further in the paper. Principles of three FDI methods are explained and characteristics of number of some popular techniques are described. It also summarizes data-driven methods and applications related to power generation plants. Parts of control system applications of FDI in TPPs with possible faults are shown in the Table I. Some popular techniques for the various faults in TPPs are discussed also.

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