Set-membership methodology for multiple fault detection and isolation in DC-DC Buck Converters

2016 ◽  
Author(s):  
Rihab El Houda Thabet ◽  
Houcine Chafouk
Keyword(s):  
Fault Detection ◽  
Fault Detection And Isolation ◽  
Buck Converters ◽  
Multiple Fault ◽  
Set Membership

scholarly journals Fault detection and isolation for a wind turbine benchmark using a mixed Bayesian/Set-membership approach

2015 ◽  
Vol 40 ◽  
pp. 59-69 ◽  
Author(s):  
Rosa M. Fernandez-Canti ◽  
Joaquim Blesa ◽  
Sebastian Tornil-Sin ◽  
Vicenç Puig
Keyword(s):  
Fault Detection ◽  
Wind Turbine ◽  
Fault Detection And Isolation ◽  
Set Membership

Causal fault detection and isolation based on a set-membership approach☆

Automatica ◽  
2004 ◽  
Vol 40 (12) ◽  
pp. 2099-2110 ◽  
Author(s):  
I FAGARASAN ◽  
S PLOIX ◽  
S GENTIL
Keyword(s):  
Fault Detection ◽  
Fault Detection And Isolation ◽  
Set Membership

Performance Analysis of Fault Detection and Identification for Multiple Faults in GNSS and GNSS/INS Integration

2015 ◽  
Vol 9 (1) ◽  
Author(s):  
Muwaffaq Alqurashi ◽  
Jinling Wang
Keyword(s):  
Performance Analysis ◽  
Fault Detection ◽  
Real Time ◽  
Correlation Coefficients ◽  
Geometric Constraints ◽  
Fault Detection And Isolation ◽  
Multiple Fault ◽  
Multiple Faults ◽  
Detection And Identification ◽  
Fault Detection And Identification

AbstractFor positioning, navigation and timing (PNT) purposes, GNSS or GNSS/INS integration is utilised to provide real-time solutions. However, any potential sensor failures or faulty measurements due to malfunctions of sensor components or harsh operating environments may cause unsatisfactory estimation for PNT parameters. The inability for immediate detecting faulty measurements or sensor component failures will reduce the overall performance of the system. So, real time detection and identification of faulty measurements is required to make the system more accurate and reliable for different applications that need real time solutions such as real time mapping for safety or emergency purposes. Consequently, it is necessary to implement an online fault detection and isolation (FDI) algorithm which is a statistic-based approach to detect and identify multiple faults.However, further investigations on the performance of the FDI for multiple fault scenarios is still required. In this paper, the performance of the FDI method under multiple fault scenarios is evaluated, e.g., for two, three and four faults in the GNSS and GNSS/INS measurements under different conditions of visible satellites and satellites geometry. Besides, the reliability (e.g., MDB) and separability (correlation coefficients between faults detection statistics) measures are also investigated to measure the capability of the FDI method. A performance analysis of the FDI method is conducted under the geometric constraints, to show the importance of the FDI method in terms of fault detectability and separability for robust positioning and navigation for real time applications.

Robust multiple-fault detection and isolation: A gradient flow approach

2008 ◽  
Vol 22 (8) ◽  
pp. 739-756 ◽  
Author(s):  
Alessandro Casavola ◽  
Domenico Famularo ◽  
Giuseppe Franzè
Keyword(s):  
Fault Detection ◽  
Gradient Flow ◽  
Fault Detection And Isolation ◽  
Multiple Fault
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