References
- Bennett, V., Abdoun, T., Shantz, T., Jang, D. and Thevanayagam, S. (2009), "Design and characterization of a compact array of MEMS accelerometers for geotechnical instrumentation", Smart Struct. Syst., 5(6), 663-679. https://doi.org/10.12989/sss.2009.5.6.663
- Bischoff, R., Meyer, J., Feltrin, G. and Saukh, O. (2006), "Monitoring of civil infrastructures using wireless sensor networks", Proceedings of the APWSHM'06 1st Asia-Pacific Workshop on Structural Health Monitoring, Yokohama, December.
- Caffrey, J., Govindan, R., Johnson, E., Krishnamachari, B., Masri, S., Sukhatme, G., Chintalapudi, K., Dantu, K., Rangwala, S., Sridhara, A., Xu, N. and Zuniga, M. (2004), "Networked sensing for structural health monitoring", Proceedings of the 4th International Workshop on Structural Control, Ed. R. Betti, Columbia University, New York.
- Culler, D., Estrin, D. and Srivastava, M. (2004), "Overview of sensor networks", IEEE Comput., 37(8), 41-49.
- Feltrin, G., Meyer, J., Bischoff, R. and Saukh, O. (2006), "A wireless sensor network for force monitoring of cable stays", Proceedings of the 3rd International Conference on Bridge Maintenance, Safety and Management, IABMAS 06, Porto, July.
- Gsell, D. and Motavalli, M. (2004), "Indoor cable-stayed GFRP bridge at EMPA, Switzerland", Proceedings of the 4th International Conference on Advanced Composite Materials in Bridges and Structures, Calgary.
- Kim, S., Pakzad, S., Culler, D.E., Demmel, D., Fenves, D., Glaser, S. and Turon, M. (2006), Health monitoring of civil infrastructures using wireless sensor networks, Technical report No. UCB/EECS-2006-121, University of California, Berkeley, CA.
- Levis, P., Madden, S., Polastre, J., Szewczyk, R., Whitehouse, K., Woo, A., Gay, D., Hill, J., Welsh, M., Brewer, E. and Culler, D. (2005), Tiny OS: An operating system for wireless sensor networks, Ambient Intelligence, Springer-Verlag, New York.
- Lu, K.C., Loh, C.H., Yang, Y.S., Lynch, J.P. and Law, K.H. (2008), "Real-time structural damage detection using wireless sensing and monitoring system", Smart Struct. Syst., 4(6), 759-777. https://doi.org/10.12989/sss.2008.4.6.759
- Lynch, J.P., Yang, W., Loh, K.J., Yi, J.H. and Yun, C.B. (2006), "Performance monitoring of the Geumdang bridge using a dense network of high-resolution wireless sensors", Smart Mater. Struct., 15(6), 1561-1575. https://doi.org/10.1088/0964-1726/15/6/008
- Lynch, J.P., Sundararajan, A., Law, K.H., Kiremidjian, A.S. and Carryer, E., (2003), "Powerefficient data management for a wireless structural monitoring system", Proceedings of the 4th International Workshop on Structural Health Monitoring, Ed. Chang, F.K., Stanford University, Stanford, CA.
- Mechitov, K., Kim, W., Agha, G. and Nagayama, T. (2006), "High-frequency distributed sensing for structure monitoring", Transac. Soc. Instr. Control Eng. (SICE), E-S-1(1), 109-114.
- Nagayama, T., Spencer, Jr., B.F., Mechitov, K.A. and Agha, G.A. (2009), "Middleware services for structural health monitoring using smart sensors", Smart Struct. Syst., 5(2), 119-137. https://doi.org/10.12989/sss.2009.5.2.119
- Polastre, J., Szewczyk, R. and Culler, D. (2005), Telos: Enabling ultra-low power research, Information Processing in Sensor Networks/SPOTS, Berkeley, April.
- Sazonov, E., Janoyan, K. and Jha, R. (2004), "Wireless intelligent sensor network for autonomous structural health monitoring", Proceedings of SPIE's Annual International Symposium on Smart Structures and Materials, San Diego, CA.
Cited by
- Sensor Attitude Correction of Wireless Sensor Network for Acceleration-Based Monitoring of Civil Structures vol.30, pp.11, 2015, https://doi.org/10.1111/mice.12147
- A low-noise, real-time, wireless data acquisition system for structural monitoring applications vol.21, pp.7, 2014, https://doi.org/10.1002/stc.1636
- In-Situ Validation of a Wireless Data Acquisition System by Monitoring a Pedestrian Bridge vol.18, pp.1, 2015, https://doi.org/10.1260/1369-4332.18.1.97
- Compressive sensing of wireless sensors based on group sparse optimization for structural health monitoring 2018, https://doi.org/10.1177/1475921717721457
- An Approach of Reliable Data Transmission With Random Redundancy for Wireless Sensors in Structural Health Monitoring vol.15, pp.2, 2015, https://doi.org/10.1109/JSEN.2014.2352612
- Structural displacement and strain monitoring based on the edge detection operator vol.20, pp.2, 2017, https://doi.org/10.1177/1369433216660220
- A Study on Data Loss Compensation of WiFi-Based Wireless Sensor Networks for Structural Health Monitoring vol.16, pp.10, 2016, https://doi.org/10.1109/JSEN.2015.2512846
- Integration of Structural Health Monitoring and Intelligent Transportation Systems for Bridge Condition Assessment: Current Status and Future Direction vol.17, pp.8, 2016, https://doi.org/10.1109/TITS.2016.2520499
- A Wireless Sensor Network Using GNSS Receivers for a Short-Term Assessment of the Modal Properties of the Neckartal Bridge vol.7, pp.6, 2017, https://doi.org/10.3390/app7060626
- Compressive sampling–based data loss recovery for wireless sensor networks used in civil structural health monitoring vol.12, pp.1, 2013, https://doi.org/10.1177/1475921712462936
- Wireless MEMS-Based Accelerometer Sensor Boards for Structural Vibration Monitoring: A Review vol.17, pp.2, 2017, https://doi.org/10.1109/JSEN.2016.2630008
- Develoment of high-sensitivity wireless strain sensor for structural health monitoring vol.11, pp.5, 2013, https://doi.org/10.12989/sss.2013.11.5.477
- Bayesian compressive sensing for approximately sparse signals and application to structural health monitoring signals for data loss recovery vol.46, 2016, https://doi.org/10.1016/j.probengmech.2016.08.001
- Energy efficiency strategy for a general real-time wireless sensor platform vol.14, pp.4, 2014, https://doi.org/10.12989/sss.2014.14.4.617
- Wireless monitoring of typhoon-induced variation of dynamic characteristics of a cable-stayed bridge vol.20, pp.2, 2015, https://doi.org/10.12989/was.2015.20.2.293
- Maximum Lifetime Strategy for Target Monitoring With Controlled Node Mobility in Sensor Networks With Obstacles vol.61, pp.11, 2016, https://doi.org/10.1109/TAC.2016.2536800
- Wireless structural health monitoring of stay cables under two consecutive typhoons vol.1, pp.1, 2014, https://doi.org/10.12989/smm.2014.1.1.047
- Recent Developments on Wireless Sensor Networks Technology for Bridge Health Monitoring vol.2013, 2013, https://doi.org/10.1155/2013/947867
- Structural Health Monitoring in Incrementally Launched Steel Bridges: Patch Loading Phenomena Modeling vol.58, 2015, https://doi.org/10.1016/j.autcon.2015.07.001
- Stress relaxation insensitive designs for metal compliant mechanism threshold accelerometers vol.6, 2015, https://doi.org/10.1016/j.sbsr.2015.10.001
- Embedding Compressive Sensing-Based Data Loss Recovery Algorithm Into Wireless Smart Sensors for Structural Health Monitoring vol.15, pp.2, 2015, https://doi.org/10.1109/JSEN.2014.2353032
- Event-driven strain cycle monitoring of railway bridges using a wireless sensor network with sentinel nodes vol.24, pp.7, 2017, https://doi.org/10.1002/stc.1934
- An Efficient Target Monitoring Scheme With Controlled Node Mobility for Sensor Networks vol.20, pp.6, 2012, https://doi.org/10.1109/TCST.2011.2167151
- System identification of a historic swing truss bridge using a wireless sensor network employing orientation correction vol.22, pp.2, 2015, https://doi.org/10.1002/stc.1672
- On-board data synchronization in wireless structural health monitoring systems based on phase locking vol.25, pp.11, 2018, https://doi.org/10.1002/stc.2248
- Multitask Sparse Bayesian Learning with Applications in Structural Health Monitoring pp.10939687, 2018, https://doi.org/10.1111/mice.12408
- Diagnosis and accuracy enhancement of compressive-sensing signal reconstruction in structural health monitoring using multi-task sparse Bayesian learning vol.28, pp.3, 2019, https://doi.org/10.1088/1361-665X/aae9b4
- Application of MEMS-based accelerometer wireless sensor systems for monitoring of blast-induced ground vibration and structural health: a review pp.2043-6394, 2019, https://doi.org/10.1049/iet-wss.2018.5099
- Design of wireless sensor network and its application for structural health monitoring of cable-stayed bridge vol.6, pp.8, 2010, https://doi.org/10.12989/sss.2010.6.8.939
- Bayesian ballast damage detection utilizing a modified evolutionary algorithm vol.21, pp.4, 2018, https://doi.org/10.12989/sss.2018.21.4.435
- Technology Leveraging for Infrastructure Asset Management: Challenges and Opportunities vol.5, pp.None, 2019, https://doi.org/10.3389/fbuil.2019.00061
- Towards rapid and robust measurements of highway structures deformation using a wireless sensing system derived from wired sensors vol.10, pp.2, 2010, https://doi.org/10.1007/s13349-020-00385-5
- Implementation and Evaluation of Vision-Based Sensor Image Compression for Close-Range Photogrammetry and Structural Health Monitoring vol.20, pp.23, 2010, https://doi.org/10.3390/s20236844
- Compressed sensing-based electromechanical admittance data loss recovery for concrete structural health monitoring vol.20, pp.3, 2010, https://doi.org/10.1177/1475921720950640
- A compressive sensing method for processing and improving vision‐based target‐tracking signals for structural health monitoring vol.36, pp.9, 2010, https://doi.org/10.1111/mice.12653