Sentence examples for mode estimation methods from inspiring English sources

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.

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.

Both the improvements will be introduced detailedly in Section 3 and Section 4. Figure 1 Procedure of electromechanical oscillation mode estimation via subspace methods.

To suppress the noises in the mode estimation from ringdown data, a mode matching method based on subspace methods was developed in [8] to analyze the small signal stability of China Southern Power Grid (CSG) using PMU data, but the performance of this method depended on the operational experience.

To address this challenge in mode estimation, a stepwise-regression based Prony method was further developed in [10] to automatically identify dominant electro-mechanical modes.

Commonly used synthetic estimation methods yield imprecise estimates.

This paper proposes a generalized inverse and mode assurance criterion based stochastic subspace identification (GMSSI) method to improve the electromechanical mode estimation efficiency in China Southern Power Grid (CSG).

The paper presents two estimation methods to calculate the natural torsional vibration mode of marine power transmission system.

According to the above advantages, subspace identification methods are becoming more attractive in electromechanical oscillation mode estimation.

A state of the art review of control and estimation methods for induction motor (IM) based on conventional approaches, sliding mode control (SMC) and sensorless SMC is presented.