Sentence examples for modes estimation method from inspiring English sources

In this article, in order to identify the low-frequency oscillation mode shape properties based on ambient signals, a new multiple modes estimation method called the auto regressive moving averaging-Prony (ARMA-P) is proposed.

The comparison between existing measurement-based mode estimation methods and the proposed GMSSI demonstrates that the proposed GMSSI exhibits highly accurate, efficient and robust performance in estimating electromechanical modes from both ringdown and ambient data in bulk power grid.

Similar to other mode estimation methods, the performance of MCWT relies on the choice of parameters.

Usually, according to [8] and [18], the procedure of electromechanical modes estimation via subspace identification methods includes phase data collection, signal pre-processing, modal properties via subspace identification methods, and accuracy evaluation (shown in Figure 1).

We take the car mode as the basic alternative to construct MNL model and estimate parameters by maximum likelihood estimation method.

Aja-Fernández et al. [16] presented a noise estimation method based on the mode of local statistics (MLS).

The estimation method is based on sliding mode technique.

The sliding mode observer has been presented as a robust estimation method.

A direct estimation method for expanding incomplete experimental mode shapes is presented.

This paper presents a state of charge (SOC) estimation method based on fractional order sliding mode observer (SMO) for lithium-ion batteries.

In this paper, a time-to-go estimation method is proposed for missiles guided by terminal sliding mode control (TSMC) based impact angle constrained guidance (IACG).