{"title":"Structural health monitoring of bridges using cost-effective 1-axis accelerometers","authors":"Chih-Hsing Lin, Ssu-Ying Chen, Chih-Chyau Yang, Chien‐Ming Wu, Chun-Ming Huang, Chih-Ting Kuo, Yu-Da Huang","doi":"10.1109/SAS.2014.6798910","DOIUrl":null,"url":null,"abstract":"This paper proposes a structure health monitoring device (HMD) with using three 1-axis accelerometers, microprocessor, analog to digital converter (ADC), and data logger for long span bridge. The proposed monitoring system achieves the features of low cost and data synchronization of three 1-axis accelerometers. Furthermore, we develop a packet acquisition program to receive the sensed data and then classify it based on time and date. Compared with 3-axis accelerometer, our proposed 1-axis accelerometers based device achieves 64.3% cost saving. Besides, the optimal sensor number can be verified by our proposed equation with only 0.37% error in terms of sample rate. Therefore, with using the proposed device, the real-time diagnosis system for bridge damage monitoring can be conducted effectively.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS.2014.6798910","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper proposes a structure health monitoring device (HMD) with using three 1-axis accelerometers, microprocessor, analog to digital converter (ADC), and data logger for long span bridge. The proposed monitoring system achieves the features of low cost and data synchronization of three 1-axis accelerometers. Furthermore, we develop a packet acquisition program to receive the sensed data and then classify it based on time and date. Compared with 3-axis accelerometer, our proposed 1-axis accelerometers based device achieves 64.3% cost saving. Besides, the optimal sensor number can be verified by our proposed equation with only 0.37% error in terms of sample rate. Therefore, with using the proposed device, the real-time diagnosis system for bridge damage monitoring can be conducted effectively.