References of "Yassine, Abed Alrahim"
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See detailAn Optimal Sensor Placement Algorithm taking into account Diagnosability Specifications
Yassine, Abed Alrahim; Rosich, Albert UL; Ploix, Stéphane

in Automation Quality and Testing Robotics (AQTR), 2010 IEEE International Conference on (Volume:2 (2010)

Suitable installed sensors in a industrial process is a necessary condition for fault diagnosis. Sensor placement for diagnosis purposes is to study which process variables have to be measured to satisfy ... [more ▼]

Suitable installed sensors in a industrial process is a necessary condition for fault diagnosis. Sensor placement for diagnosis purposes is to study which process variables have to be measured to satisfy diagnosis specifications (detectability, dis-criminability and diagnosability). This paper presents a method based on the study of the structural model properties and the Dulmage-Mendelsohn decomposition. Due to the use of structural models, the proposed approach can be applied to a wide variety of system (linear, algebraic, dynamics, etc.). Assuming that the cost of placing a sensor for each possible variable is defined, this method finds the minimal cost sensor configuration according to the diagnosability criteria. This method does not require the computation of testable subsystems [less ▲]

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See detailEfficient Optimal Sensor Placement for Structural Model Based Diagnosis
Rosich, Albert UL; Yassine, Abed Alrahim; Ploix, Stéphane

in 21st Annual Workshop Proceedings (2010)

This work aims to study which sensors are required to be installed in a process in order to improve certain fault diagnosis specifications. Especially, the present method is based on structural models ... [more ▼]

This work aims to study which sensors are required to be installed in a process in order to improve certain fault diagnosis specifications. Especially, the present method is based on structural models. Thus system models involving a wide variety of equations (e.g. linear, non-linear algebraic, dynamics) can be easy handled. The use of structural models permits to define the diagnosis properties from the Dulmage-Mendelsohn decomposition, avoiding in this way the computation of any minimal redundant subsystem. Furthermore, in the present paper, the cost of the sensor configuration is considered. Therefore, the proposed method attempts to find not all the possible solution but the optimal one. The optimal search is efficiently performed by developing an algorithm based on heuristic rules which, in general, allow to significantly reduce the search. [less ▲]

Detailed reference viewed: 95 (5 UL)