{"title":"基于传递函数模型的风电齿轮故障诊断分析","authors":"Xin Wang, Wenyi Liu, Mengchen Shan","doi":"10.1109/phm-qingdao46334.2019.8942984","DOIUrl":null,"url":null,"abstract":"In this paper, wind turbine fault state and normal working conditions, using the classical transfer function model in Control theory, are characterized by the external fault of the whole system. Considering the internal impact with each other in the whole wind turbine power system, main idea of the paper tries to explore whether the final impact of the fault signal on the system can be quantified.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault Diagnosis Analysis of Wind Turbine Gear Based on Transfer Function Model\",\"authors\":\"Xin Wang, Wenyi Liu, Mengchen Shan\",\"doi\":\"10.1109/phm-qingdao46334.2019.8942984\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, wind turbine fault state and normal working conditions, using the classical transfer function model in Control theory, are characterized by the external fault of the whole system. Considering the internal impact with each other in the whole wind turbine power system, main idea of the paper tries to explore whether the final impact of the fault signal on the system can be quantified.\",\"PeriodicalId\":259179,\"journal\":{\"name\":\"2019 Prognostics and System Health Management Conference (PHM-Qingdao)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Prognostics and System Health Management Conference (PHM-Qingdao)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/phm-qingdao46334.2019.8942984\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/phm-qingdao46334.2019.8942984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fault Diagnosis Analysis of Wind Turbine Gear Based on Transfer Function Model
In this paper, wind turbine fault state and normal working conditions, using the classical transfer function model in Control theory, are characterized by the external fault of the whole system. Considering the internal impact with each other in the whole wind turbine power system, main idea of the paper tries to explore whether the final impact of the fault signal on the system can be quantified.
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