Sensor integration, data fusion and information management for industrial monitoring systems
One of the main challenges of SHM remains the transfer of sensing and damage detection technologies from the laboratory environment to routine field applications (including wireless sensors). This requires an industrial approach to system integration and validation. It is for example important to ensure that data from each measurement system is collected and managed in a coherent way and that the data management and decision making tools can access straightforwardly all data. For the sensors developed in ESR1's project and ESR2's project, these interfaces have to be developed and implemented, including appropriate visualisation tools.
Furthermore, specific data fusion and data mining algorithms must be developed, implemented and tested in order to verify their effectiveness in real field conditions and under different environmental and operational disturbances. Finally, validation of each technology and their combination can serve as the basis for a future commercial activity to promote the results of the project.
Keywords: data fusion, data mining algorithms, fatigue.
Research fields: informatics, electronic, automatics, civil engineering.
Maintenance is a very important issue in modern transportation network. Old infrastructures in poor condition instead of profits may cause nuisance. The knowledge, when particular asset is needed to be mended might be crucial. Present fatigue thesis are not reliable, so the calculations most often are not accurate. New methods of assessing durability of infrastructure are vital. Prototype sensors and new methods of measurement will be developed by consortium members during this project, new data acquisition and signal processing must follow them.
Main aim is to develop specific data fusion and data mining algorithms, implementation and testing in order to verify their effectiveness in real field conditions and under different environmental and operational disturbances.
- Acquisition and management of the data.
- Data optimisation based on data fusion and data mining algorithm.
- Laboratory tests of the platform.
- In situ implementation and testing.
- Sensor integration in project.
- Connecting all sensors algorithm.
- Papers in conferences and journals.
- BAM (Berlin, Germany)
August, September & October 2017
Innovative monitoring methods, integration of innovative sensors in existing networks, data fusion
- EPFL (Lausanne, Switzerland)
- PHIMECA (Cournon d'Auvergne, France)
June & July 2019
Monitoring demands and boundary conditions
- Salamak M., Klikowicz P.
Protections and monitoring of European transportation routes in upper Silesia mining area
14th SGEM GeoConference on Science and Technologies in Geology, Exploration and Mining, Albena, Bulgaria, 17-26 June 2014, At 363-368, Volume: 2
- Klikowicz P., Salamak M.
Indirect determination of support reactions in concrete bridge elements
10th Central European Conference on Concrete Engineering, Liberec, 1-2 October 2014
- Klikowicz P., Lazinski P., Salamak M.
New methods for monitoring and diagnosis of concrete bridges - Coda Wave technology
11th Central European Conference on Concrete Engineering, Hainburg, 1-2 October 2015
- Abraham O., Niederleithinger E., Chapeleau X., Klikowicz P., Brühwiler E., Bassil A., Wang X., Chakraborty J., Bayane I., Leduc D., Salamak M., Katunin A., Sørensen J.D.
Addressing the need to monitor concrete fatigue with Non Destructive Testing: preliminary results of Infrastar European project
SMT and NDT-CE 2018 - Structural Materials Technology for Highways and Bridges (SMT) and the International Symposium on Non-Destructive Testing in Civil Engineering (NDT-CE), New Brunswick, New Jersey, USA, 27-29 August 2018
- Chakraborty J., Katunin A.
Detection of structural changes in concrete using embedded ultrasonic sensors based on autoregressive model
Diagnostyka, Vol.20, No. 1, 2019
- Chakraborty J., Katunin A.
Autoregressive model-based changes detection in concrete structures using ultrasonic sensors
TSD, 17th International Technical Systems Degradation Conference, Liptovský Mikuláš, Slovakia, 4-7 April 2018
ESR 3: Joyraj Chakraborty (NeoStrain)
Local industrial supervisor: Dr Piotr Klikowicz (NeoStrain)
Academic co-supervisor: Dr Ernst Niederleithinger (BAM)
PhD director: Assoc. Prof. Marek Salamak (Silesian University of Technology)
PhD co-director: Assoc. Prof. Andrzej Katunin (Silesian University of Technology)