Applied Sciences, Free Full-Text
Por um escritor misterioso
Descrição
This paper presents an approach for creating online assessment power curves by calculating the variations between the baseline and actual power curves. The actual power curve is divided into two regions based on the operation rules of a wind turbine, and the regions are individually assessed. The raw data are filtered using the control command, and outliers are detected using the density-based spatial clustering of applications with noise clustering method. The probabilistic area metric is applied to quantify the variations of the two power curves in the two regions. Based on this result, the variation in the power curves can be calculated, and the results can be used to dynamically evaluate the power performance of a wind turbine. The proposed method is verified against the derivation of secondary principal component method and traditional statistical methods. The potential applications of the proposed method in wind turbine maintenance activities are discussed.

Applied sciences Stock Photos, Royalty Free Applied sciences Images

Applied Sciences An Open Access Journal from MDPI

J, Free Full-Text

Applied Sciences, Free Full-Text, Semantic Mediation Model to Promote Improved Data Sharing Using Representa…

Applied Research - Wiley Online Library

Applied sciences Stock Photos, Royalty Free Applied sciences Images

Mental Health Science - Wiley Online Library

Applied Sciences An Open Access Journal from MDPI

Applied Data Science with Python Specialization [5 courses] (UMich)

Applied Sciences An Open Access Journal from MDPI

Free Delivery & Gift WrappingApplied Sciences, Free Full-Text, vibration at certain rpm

Applied Science and Technology Full Text

Driven Pile 2.1 Get File - Colaboratory

Applied Sciences An Open Access Journal from MDPI
de
por adulto (o preço varia de acordo com o tamanho do grupo)