Sentence examples for voltage classifications from inspiring English sources

Cross-fertilization. Comparing voltage classifications between microgrids and ships, terrestrial microgrids are guiding standard practice and design in terms of development, industry standardization, and engineering experience.

The paper analyses the basic structure of the MMGs from many aspects such as voltage grade classification, AC/DC constitutional forms, and phase-sequence constitutional forms.

These applications include: fault detection in transformers during impulse test [16], prediction and control of fuel cell operating conditions [17], load forecasting process in a deregulated power system [18], fault detection [19, 20], modeling of nonlinear dynamic systems [21], power quality events recognition [22] and voltage disturbance classification [23].

In this sense, the idea of this paper is to present an original approach for automatic classification of voltage waveforms in electrical distribution networks.

Therefore, whether it is offline study, online analysis or real-time monitoring, all facilities that impact bulk power system reliability should be covered, which should be selected not by geographic location, voltage level or functional classification but by deep understanding of system characteristics.

This paper introduces the first application of feature extraction and machine learning to electromagnetic interference (EMI) signals for discharge sources classification in high voltage power generating plants.

A passive ID through classification of various indices like voltage, current, etc. by ANFIS is shown in [115].

A 95% Confidence Interval for the total number of voltage sags was estimated, leading to the classification of the main variables related to the voltage sags by clusters formed.

Clusters of Substations with similarities for regulatory purpose of voltage sags were the principal results, followed by classification of the main variables associated with voltage sags by the clusters formed.

Open image in new window Figure 8 IIW classification of metal transfer depicted in an arc voltage and welding current diagram (Ponomarev et al. 2003 ).

The significance of detection and classification of power quality (PQ) events that disturbs the voltage and/or current waveforms in the electrical power distribution networks is well known.