Advanced Structural Health Monitoring and Diagnostics of Transport, Industrial and Energy Facilities

Reliability and Statistics in Transportation and Communication: Selected Papers from the 17th International Conference on Reliability and Statistics in Transportation and Communication, RelStat ’17. Lecture Notes in Networks and Systems. Vol.36 2018
Aleksey Mironov, Deniss Mironovs, Igor Kabashkin

The condition-based maintenance (CBM) strategy utilizing continuous monitoring with proposed Combined Sensor Network (CSN) technology is discussed in this paper. The paper introduces a decision-making approach for design of optimal integrated monitoring and diagnostic architecture that combines maintenance decisions with CSN-based diagnostic system and its integration with Structural Health Monitoring (SHM) approaches for achieving efficient system for maintenance and lowering life-cycle cost of industrial structures. The technology prototype is tested in laboratory and real-life conditions on a 20 m tall airport radar tower in Riga, Latvia.

Keywords
structural health monitoring; vibration; piezo film sensors
DOI
10.1007/978-3-319-74454-4_15
Hyperlink
https://link.springer.com/chapter/10.1007/978-3-319-74454-4_15

Mironov, A., Mironovs, D., Kabashkin, I. Advanced Structural Health Monitoring and Diagnostics of Transport, Industrial and Energy Facilities. In: Reliability and Statistics in Transportation and Communication: Selected Papers from the 17th International Conference on Reliability and Statistics in Transportation and Communication, RelStat ’17. Lecture Notes in Networks and Systems. Vol.36, Latvia, Riga, 18-21 October, 2017. Cham: Springer, 2018, pp.159-171. ISBN 978-3-319-74453-7. e-ISBN 978-3-319-74454-4. ISSN 2367-3370. e-ISSN 2367-3389. Available from: doi:10.1007/978-3-319-74454-4_15

Publication language
English (en)