Optimal Adaptive Threshold and Mode Fault Detection for Model-Based Fault Diagnosis of Hybrid Dynamical Systems

2018 ◽  
pp. 45-78 ◽  
Author(s):  
Om Prakash ◽  
A. K. Samantaray ◽  
R. Bhattacharyya
Keyword(s):  
Fault Diagnosis ◽  
Dynamical Systems ◽  
Fault Detection ◽  
Adaptive Threshold ◽  
Hybrid Dynamical Systems ◽  
Model Based

A Model-Based Fault Detection Methodology for Vacuum Circuit Breaker

2013 ◽  
Vol 321-324 ◽  
pp. 739-742
Author(s):  
Yu Huang Zheng
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Dynamic Model ◽  
Test Data ◽  
High Speed ◽  
Circuit Breaker ◽  
Theoretical Data ◽  
Experimental Results ◽  
Model Based ◽  
Vacuum Circuit Breaker

Vacuum circuit breaker becomes more and more complicated, integrated, high-speed and intellectualized. To insure vacuum circuit breaker in its good conditions, the function of fault diagnosis gets more important than before in the process of repairing. This paper is addressed a model-based fault detection methodology for vacuum circuit breaker. At first, the dynamic model of vacuum circuit breaker is built. Secondly, DTW algorithm is introduced to compute the similarity value between the test data and the theoretical data. At last, the value comparison between the similarity and the threshold concludes whether a fault has occurred or the vacuum circuit breaker has potential hazardous effects. The experimental results show that this method is effective.

scholarly journals Methodology to knowledge discovery for fault diagnosis of hybrid dynamical systems: demonstration on two tanks system

Diagnostyka ◽  
2020 ◽  
Vol 21 (4) ◽  
pp. 115-123
Author(s):  
Mohammed Said Achbi ◽  
Lotfi Mhamdi ◽  
Sihem Kechida ◽  
Hedi Dhouibi
Keyword(s):  
Fault Diagnosis ◽  
Dynamical Systems ◽  
Knowledge Discovery ◽  
Hybrid Dynamical Systems

Improved fault diagnosis for aircraft flap control system based on bond graph

2020 ◽  
Vol 92 (8) ◽  
pp. 1159-1168
Author(s):  
Jie Chen ◽  
Zhengdong Jing ◽  
Chentao Wu ◽  
Senyao Chen ◽  
Liye Cheng
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Fault Detection ◽  
Complex Systems ◽  
Parameter Uncertainty ◽  
Failure Modes ◽  
Bond Graph ◽  
Adaptive Threshold ◽  
Fault Detection And Diagnosis ◽  
Content Type

Purpose This paper aims to improve the fault detection adaptive threshold of aircraft flap control system to make the system fault diagnosis more accurate. Design/methodology/approach According to the complex mechanical–electrical–hydraulic structure and the multiple fault modes of the aircraft flap control system, the advanced fault diagnosis method based on the bond graph (BG) model is presented, and based on the system diagnostic BG model, the parameter uncertainty intervals are estimated and a new adaptive threshold is constructed by linear fraction transformation. Findings To construct a more reasonable and accurate adaptive threshold range to more accurately detect system failures, some typical failure modes’ diagnosis process are selected and completed for verification; the simulation results show that the proposed method is effective and feasible for complex systems’ fault diagnosis. Practical implications This study can provide a theoretical guidance and technical support for fault diagnosis of complex systems, which avoid misdiagnosis and missed diagnosis. Originality/value This study enables more accurate fault detection and diagnosis of complex systems when considering factors such as parameter uncertainty.

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.

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