Detection of outliers in a gas centrifuge experimental data

Abstract

-Isotope separation with a gas centrifuge is a very complex process. Development and optimization of a gas centrifuge requires experimentation. These data contain experimental errors, and like other experimental data, there may be some gross errors, also known as outliers. The detection of outliers in gas centrifuge experimental data is quite complicated because there is not enough repetition for precise statistical determination and the physical equations may be applied only to control of the mass flow. Moreover, the concentrations are poorly predicted by phenomenological models. This paper presents the application of a three-layer feed-forward neural network to the detection of outliers in analysis of performed on a very extensive experiment.

Investigation of Cut Control Equations in the Gas Centrifuge Cascades

“…where s X , ' s X and " s X are the composition of desired isotope in the feed, product and waste stream of stages respectively [8].…”

“…Using equations (3)(4)(5)(6)(7)(8) the flow rate of pipes can be obtained and the pressure losses in stages s P ∆ can be calculated by [12] or Darcy equations. So, the unknown parameters are the As and pressures in the product PPs, waste PWs and feed PFs of each stage.…”

“…In 2014 Borisevich et al [2] proposed that it is possible to find the optimum parameters of a cascade that operates in the minimum total flow. In general behavior the separation work, U, is a function of F, α and θ [7], however experimental data show that U is a function of the feed flow F, θ and pressure in the product line, Pp [8,9]. In fact, the external parameters influence on the internal parameters (F, α and cut θ) in the cascade.…”

“…The external parameters of a single centrifuge are defined by the pressures in the feed PF, product PP and waste PW or by the feed (F), the product (P) and waste flow (W). In 2005 Andrade et al [8] that the optimal tapered shape is superior over the square shape in separating the middle component of Xenon [11].…”