Optimal test and sensor selection for active fault diagnosis using integer programming

2020 ◽  
Vol 92 ◽  
pp. 202-211
Author(s):  
Utsav Awasthi ◽  
Kyle A. Palmer ◽  
George M. Bollas
2018 ◽  
Vol 93 (3) ◽  
pp. 629-639 ◽  
Author(s):  
Daniel Jung ◽  
Yi Dong ◽  
Erik Frisk ◽  
Mattias Krysander ◽  
Gautam Biswas

2007 ◽  
Vol 4 (3) ◽  
pp. 469-473 ◽  
Author(s):  
Setu Madhavi Namburu ◽  
Mohammad S. Azam ◽  
Jianhui Luo ◽  
Kihoon Choi ◽  
Krishna R. Pattipati

Author(s):  
Eeshan Deosthale ◽  
Daniel Jung ◽  
Qadeer Ahmed

Abstract Fault diagnosis of a certain class of hybrid systems referred to as Structurally Reconfigurable (SR) systems is complicated. This is because SR systems tend to switch their configuration which may or may not be faulty. It is important to identify the mode of the SR system along with the corresponding fault if any, in order to facilitate a fault tolerant action. This paper combines discrete fault diagnosis with mode identification for SR systems to achieve two main objectives: Sensor selection for fault detection, isolation and mode identification, and residual selection for mode identification. The framework is built using a structural analysis based approach to meet these objectives. This framework is demonstrated for a 10-Speed Automatic Transmission, which is an illustrative example of SR systems.


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