The oPtImal Measurement Probes Allocation (PIMPA) tool has been recently proposed in [1] to maximize the reliability of a tokamak diagnostic system against the failure of one or more of the processing nodes. PIMPA is based on the solution of integer linear programming (ILP) problems, and it minimizes the effect of the failure of a data acquisition component. The first formulation of the PIMPA model did not support the concept of individual slots. This work presents an improved ILP model that addresses the above mentioned problem, by taking into account all the individual probes.
An improved model for the oPtImal Measurement Probes Allocation tool / Sterle, Claudio; Neto, A. C.; DE TOMMASI, Gianmaria. - In: FUSION ENGINEERING AND DESIGN. - ISSN 0920-3796. - 96-97:(2015), pp. 970-973. [10.1016/j.fusengdes.2015.04.054]
An improved model for the oPtImal Measurement Probes Allocation tool
STERLE, CLAUDIO;DE TOMMASI, GIANMARIA
2015
Abstract
The oPtImal Measurement Probes Allocation (PIMPA) tool has been recently proposed in [1] to maximize the reliability of a tokamak diagnostic system against the failure of one or more of the processing nodes. PIMPA is based on the solution of integer linear programming (ILP) problems, and it minimizes the effect of the failure of a data acquisition component. The first formulation of the PIMPA model did not support the concept of individual slots. This work presents an improved ILP model that addresses the above mentioned problem, by taking into account all the individual probes.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
