Fault Diagnosis of Wind Turbine SCADA Data via Immunity Perception

ZHENG-NAN HOU, XIAO-XIAO LV, SHENG-XIAN ZHUANG

Abstract


Health monitoring of wind turbine (WT) has gained considerable attention, and the supervisory control and data acquisition (SCADA) data (such as power, temperature, and pressure, etc.) have been analyzed. However, many parameters in SCADA data are inertia parameters, which are easily affected by their inherent inertia. To solve this problem, a health pre-progress for SCADA data based on immunity perception (IP) is proposed in this paper. This progress uses the immunity perception to obtain the health information of a single parameter. Two numerical examples are given to validate the progress proposed in this paper.

Keywords


Wind turbine, Fault diagnosis, Immunity perception, Analytic hierarchy process, SCADA.Text


DOI
10.12783/dteees/peems2019/34018

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