发表状态 | 已发表Published |
题名 | Dependable Structural Health Monitoring Using Wireless Sensor Networks |
作者 | |
发表日期 | 2017-07-01 |
发表期刊 | IEEE Transactions on Dependable and Secure Computing
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ISSN/eISSN | 1545-5971 |
卷号 | 14期号:4页码:363-376 |
摘要 | As an alternative to current wired-based networks, wireless sensor networks (WSNs) are becoming an increasingly compelling platform for engineering structural health monitoring (SHM) due to relatively low-cost, easy installation, and so forth. However, there is still an unaddressed challenge: The application-specific dependability in terms of sensor fault detection and tolerance. The dependability is also affected by a reduction on the quality of monitoring when mitigating WSN constrains (e.g., limited energy, narrow bandwidth). We address these by designing a dependable distributed WSN framework for SHM (called DependSHM) and then examining its ability to cope with sensor faults and constraints. We find evidence that faulty sensors can corrupt results of a health event (e.g., damage) in a structural system without being detected. More specifically, we bring attention to an undiscovered yet interesting fact, i.e., the real measured signals introduced by one or more faulty sensors may cause an undamaged location to be identified as damaged (false positive) or a damaged location as undamaged (false negative) diagnosis. This can be caused by faults in sensor bonding, precision degradation, amplification gain, bias, drift, noise, and so forth. In DependSHM, we present a distributed automated algorithm to detect such types of faults, and we offer an online signal reconstruction algorithm to recover from the wrong diagnosis. Through comprehensive simulations and a WSN prototype system implementation, we evaluate the effectiveness of DependSHM. |
关键词 | dependability energy-efficiency fault detection fault-tolerance structural health monitoring Wireless sensor networks |
DOI | 10.1109/TDSC.2015.2469655 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Computer Science, Software Engineering |
WOS记录号 | WOS:000405370300002 |
Scopus入藏号 | 2-s2.0-85027683302 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/7224 |
专题 | 个人在本单位外知识产出 |
作者单位 | 1.School of Computer Science and Educational Software, Guangzhou University, Guangzhou, China 2.Department of Computer and Information Sciences, Fordham University, New York, 10458, United States 3.School of Information Science and Engineering, Central South University, Changsha, 410083, China 4.Department of Computer and Information Sciences, Temple University, Philadelphia, 19122, United States 5.Department of Computing, Hong Kong Polytechnic University, Hong Kong, China 6.College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China |
推荐引用方式 GB/T 7714 | Bhuiyan, Md Zakirul Alam,Wang, Guojun,Wu, Jieet al. Dependable Structural Health Monitoring Using Wireless Sensor Networks[J]. IEEE Transactions on Dependable and Secure Computing, 2017, 14(4): 363-376. |
APA | Bhuiyan, Md Zakirul Alam, Wang, Guojun, Wu, Jie, Cao, Jiannong, Liu, Xuefeng, & Wang, Tian. (2017). Dependable Structural Health Monitoring Using Wireless Sensor Networks. IEEE Transactions on Dependable and Secure Computing, 14(4), 363-376. |
MLA | Bhuiyan, Md Zakirul Alam,et al."Dependable Structural Health Monitoring Using Wireless Sensor Networks". IEEE Transactions on Dependable and Secure Computing 14.4(2017): 363-376. |
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