{"title":"Fault Diagnosis of Wind Turbine SCADA Data via Immunity Perception","authors":"Zhengnan Hou, Xiaoxiao Lv, Shengxian Zhuang","doi":"10.12783/dteees/peems2019/34018","DOIUrl":null,"url":null,"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.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"58 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Environment, Energy and Earth Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/dteees/peems2019/34018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.