{"title":"一种新的结构健康监测数值积分器","authors":"S. Thenozhi, Wen Yu, R. Garrido","doi":"10.1109/ISRCS.2012.6309300","DOIUrl":null,"url":null,"abstract":"Accelerometers are one of the most commonly used sensor in structural control and health monitoring applications. However the accelerometer output is polluted with noise and bias signals. Obtaining velocity and position from these acceleration measurements are not trivial. Direct integration will result in an output drift. In this paper baseline correction and filtering techniques are used to overcome these problems. Experimental results on a linear actuator illustrates the effectiveness of the proposed method.","PeriodicalId":227062,"journal":{"name":"2012 5th International Symposium on Resilient Control Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"A novel numerical integrator for structural health monitoring\",\"authors\":\"S. Thenozhi, Wen Yu, R. Garrido\",\"doi\":\"10.1109/ISRCS.2012.6309300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Accelerometers are one of the most commonly used sensor in structural control and health monitoring applications. However the accelerometer output is polluted with noise and bias signals. Obtaining velocity and position from these acceleration measurements are not trivial. Direct integration will result in an output drift. In this paper baseline correction and filtering techniques are used to overcome these problems. Experimental results on a linear actuator illustrates the effectiveness of the proposed method.\",\"PeriodicalId\":227062,\"journal\":{\"name\":\"2012 5th International Symposium on Resilient Control Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 5th International Symposium on Resilient Control Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISRCS.2012.6309300\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 5th International Symposium on Resilient Control Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISRCS.2012.6309300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel numerical integrator for structural health monitoring
Accelerometers are one of the most commonly used sensor in structural control and health monitoring applications. However the accelerometer output is polluted with noise and bias signals. Obtaining velocity and position from these acceleration measurements are not trivial. Direct integration will result in an output drift. In this paper baseline correction and filtering techniques are used to overcome these problems. Experimental results on a linear actuator illustrates the effectiveness of the proposed method.