{"title":"集成传感器的组件监控","authors":"B.J.A. van Thiel, P. Nyhuis","doi":"10.1109/ICSEng.2011.72","DOIUrl":null,"url":null,"abstract":"As part of the collaborative research centre 653 (CRC 653) at the Leibniz University of Hannover, sensors and sensitive materials are being developed which can be integrated into components and register the component condition directly. The part-project \"Component status driven maintenance\" presented here, develops the methodical procedure for being able to use these sensors in preventive maintenance. Preventive maintenance however is not possible solely on the basis of the current status information of the components. A much more decisive factor is a database by means of which the further development of this status can be estimated. This enables the determination of possible causes of faults before they occur, and the assessment of the failure risk of components.","PeriodicalId":387483,"journal":{"name":"2011 21st International Conference on Systems Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Component Monitoring with Integrated Sensors\",\"authors\":\"B.J.A. van Thiel, P. Nyhuis\",\"doi\":\"10.1109/ICSEng.2011.72\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As part of the collaborative research centre 653 (CRC 653) at the Leibniz University of Hannover, sensors and sensitive materials are being developed which can be integrated into components and register the component condition directly. The part-project \\\"Component status driven maintenance\\\" presented here, develops the methodical procedure for being able to use these sensors in preventive maintenance. Preventive maintenance however is not possible solely on the basis of the current status information of the components. A much more decisive factor is a database by means of which the further development of this status can be estimated. This enables the determination of possible causes of faults before they occur, and the assessment of the failure risk of components.\",\"PeriodicalId\":387483,\"journal\":{\"name\":\"2011 21st International Conference on Systems Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 21st International Conference on Systems Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSEng.2011.72\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 21st International Conference on Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSEng.2011.72","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
作为汉诺威莱布尼茨大学(Leibniz University of Hannover) 653合作研究中心(CRC 653)的一部分,传感器和敏感材料正在开发中,可以集成到组件中并直接记录组件状态。本文提出的部分项目“组件状态驱动维护”,开发了能够在预防性维护中使用这些传感器的系统程序。然而,仅仅根据部件的当前状态信息进行预防性维护是不可能的。一个更为决定性的因素是一个数据库,通过它可以估计这一状况的进一步发展。这样可以在故障发生之前确定故障的可能原因,并评估组件的故障风险。
As part of the collaborative research centre 653 (CRC 653) at the Leibniz University of Hannover, sensors and sensitive materials are being developed which can be integrated into components and register the component condition directly. The part-project "Component status driven maintenance" presented here, develops the methodical procedure for being able to use these sensors in preventive maintenance. Preventive maintenance however is not possible solely on the basis of the current status information of the components. A much more decisive factor is a database by means of which the further development of this status can be estimated. This enables the determination of possible causes of faults before they occur, and the assessment of the failure risk of components.