The search session has expired. Please query the service again.

Currently displaying 1 – 2 of 2

Showing per page

Order by Relevance | Title | Year of publication

A method for sensor placement taking into account diagnosability criteria

Abed Alrahim Yassine;  Stéphane Ploix;  Jean-Marie Flaus — 2008

International Journal of Applied Mathematics and Computer Science

This paper presents a new approach to sensor placement based on diagnosability criteria. It is based on the study of structural matrices. Properties of structural matrices regarding detectability, discriminability and diagnosability are established in order to be used by sensor placement methods. The proposed approach manages any number of constraints modelled by linear or nonlinear equations and it does not require the design of analytical redundancy relations. Assuming that a constraint models...

A new efficient and flexible algorithm for the design of testable subsystems

Stéphane Ploix;  Abed Alrahim Yassine;  Jean-Marie Flaus — 2010

International Journal of Applied Mathematics and Computer Science

In complex industrial plants, there are usually many sensors and the modeling of plants leads to lots of mathematical relations. This paper presents a general method for finding all the possible testable subsystems, i.e., sets of relations that can lead to various types of detection tests. This method, which is based on structural analysis, provides the constraints that have to be used for the design of each detection test and manages situations where constraints contain non-deductible variables...

Page 1

Download Results (CSV)