Structural analysis for the sensor location problem in fault detection and isolation

Automatica ◽  
2008 ◽  
Vol 44 (8) ◽  
pp. 2074-2080 ◽  
Author(s):  
Christian Commault ◽  
Jean-Michel Dion ◽  
Sameh Yacoub Agha
Author(s):  
Zhentong Liu ◽  
Qadeer Ahmed ◽  
Giorgio Rizzoni ◽  
Hongwen He

This paper presents a systematic methodology based on structural analysis and sequential residual generators to design a Fault Detection and Isolation (FDI) scheme for nonlinear battery systems. The faults to be diagnosed are highlighted using a detailed hazard analysis conducted for battery systems. The developed methodology includes four steps: candidate residual generators generation, residual generators selection, diagnostic test construction and fault isolation. State transformation is employed to make the residuals realizable. The simulation results show that the proposed FDI scheme successfully detects and isolates the faults injected in the battery cell with cooling system at different times. In addition, there are no false or missed detections of the faults.


2015 ◽  
Vol 48 (21) ◽  
pp. 1465-1470 ◽  
Author(s):  
Zhentong Liu ◽  
Hongwen He ◽  
Qadeer Ahmed ◽  
Giorgio Rizzoni

2005 ◽  
Vol 38 (1) ◽  
pp. 382-387 ◽  
Author(s):  
Christian Commault ◽  
Jean-Michel Dion ◽  
Sameh Yacoub Agha

2012 ◽  
Vol 203 ◽  
pp. 365-369
Author(s):  
Zheng Zhong Duan

This study presents a model-based methodology based on structural analysis that has the potential of having a technological impact on the design of diagnostic systems for power systems. The methodology utilizes the analytical redundancy inherent in the system structure and provides a strategy for systematic and automatic evaluation of power system topologies with respect to their monitoring (fault detection and isolation) potential.


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