Sentence examples for estimation of processes from inspiring English sources

The fine time steps provide a detailed characterization of the cloud, allowing the independent estimation of processes contributing on differing time scales and providing sensitivity to the characteristic kinetic energies of the electrons making up the cloud.

Results of this study show that the reason for considering wavelet transform is the benefit and usefulness of multilateral resolution analysis, the removal of signal-related disorders, and the powerful capability of artificial intelligence in optimization, versatility, and estimation of processes (Nourani et al. 2014).

Estimation of process model parameters and the observer design are discussed and exemplified on logged data.

A criterion for the estimation of process conditions with close fractal dimensions is offered.

The models were validated by analysis of variance, significance, and prediction, allowing the estimation of process variables.

Process mapping and identifying key quality characteristics (KQCs) is carried out inthe 'definition phase', while estimation of process capability indicesis carried out in the 'measure phase'.

This paper proposes the use of a generalized distribution, namely the Generalized T (GT) distribution in the joint estimation of process states and model parameters.

The purpose of the paper is to achieve a constrained estimation of process state variables using the anisochronic state observer tuned by the dominant root locus technique.

Estimation of process variables, particularly temperature, is of crucial importance for the bar front section to fulfil quality requirements and it must be performed in the shortest possible time to keep heat.

To avoid the bursting phenomenon of the estimator without deteriorating control performances, we introduce a small in-line static mixer which is easily implemented and whose output can be excited persistently for the reliable estimation of process parameters.

Two methods are presented, both based on using design criteria for the estimation of process parameters (related to the trend and to the covariance of the random term).