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A parameter selection method for wind turbine health management through SCADA data
Du, Mian; Yi, Jun; Mazidi, Peyman; Cheng, Lin; Guo, JianboMore and more works are using machine learning techniques while adopting supervisory control and data acquisition (SCADA) system for wind turbine anomaly or failure detection. While parameter selection is important for ... -
From Condition Monitoring to Maintenance Management in Electric Power System Generation with focus on Wind Turbines
Mazidi, Peyman (2017)Debido al creciente número de sensores instalados en subconjuntos de componentes industriales, la cantidad de datos recogidos está aumentando rápidamente. Estos datos contienen información en áreas como la operación del ... -
Lifetime analysis of the main communication components in a smart distribution grid
Sanz Bobi, Miguel Ángel; Mazidi, Peyman; Sánchez Miralles, Alvaro; González Bordagaray, Ana; Bachiller Prieto, Raúl (Institute of Electrical and Electronics Engineers; IEEE Power Electronics Society; Politecnico di To (Turín, Italia), 07/10/2018)This paper describes the method followed to analyze the lifetime of the main communication components involved in a smart distribution grid. This analysis was carried out in four different cases of smart distribution ... -
Reliability analysis of a radial distributed generation distribution system
Mazidi, Peyman; Sreenivas, G.N. (01/06/2013)Distributed Generation (DG) plays an important role in different regions of a power system. DG provides an alternative to the traditional electricity sources i.e. oil, gas, coal, water, etc. and can also be used to enhance ...