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.

See the profile of ESR3 Joyraj Chakraborty.

NeoStrain (Krakow, Poland)

36 months
From 10.02.2017 to 09.02.2020

Silesian University of Technology (Gliwice, Poland)

PhD director: Assoc. Prof. Marek Salamak (Silesian University of Technology)

PhD co-director: Assoc. Prof. Andrzej Katunin (Silesian University of Technology)

The members of the thesis committee are:

Assoc. Prof. Damian Beben, Department of Geotechnics and Geodesy, Opole University of Technology, Poland (reviewer)
Dr Krzysztof Dragan, Aircraft Airworthiness Division, Air Force Institute of Technology, Warsaw, Poland (reviewer)
Prof. Jerzy Swider, Institute of Technological Processes, Automation and Integrated Manufacturing System, Silesian University of Technology, Poland
Prof. Wojciech Moczulski, Silesian University of Technology, Department of Fundamentals of Machinery Design, Faculty of Mechanical Engineering, Poland
Prof. Andrzej Sokolowski, Department of Machine
Construction, Silesian University of Technology, Poland
Dr Krzysztof Gromysz, Silesian University of Technology, Faculty of Civil Engineering, Poland
Assoc. Prof. Jacek Hulimka, Faculty of Civil Engineering, Silesian University of Technology, Poland
Prof. Tomasz Krykowski, Faculty of Civil Engineering, Silesian University of Technology, Poland
Assoc. Prof. Marek Salamak, Department of Civil Engineering, Silesian University of Technology, Poland (PhD director)
Assoc. Prof. Andrzej Katunin, Department of Fundamentals of Machinery Design, Silesian University of Technology, Poland (PhD co-director)

The defence held on Friday 17 January 2020 at 11:00 at the Faculty of Mechanical Engineering of the Silesian University of Technology in Gliwice, Poland.

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)
February 2019
Acoustic emission

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

Publications

Chakraborty J., Stolinski M., Katunin A.
Addressing the detection capability for scalable energy consumption using primary data acquisition system of embedded ultrasonic sensors in SHM
ICAEE, Proceedings of the 2019 5th International Conference on Advances in Electrical Engineering, Dhaka, Bangladesh, 26-28 September 2019

Chakraborty J., Katunin A., Klikowicz P., Salamak M.
Embedded ultrasonic transmission sensors and signal processing techniques for structural change detection in the Gliwice bridge
ICSI, 3rd International Conference on Structural Integrity, Funchal, Madeira, Portugal, 2-5 September 2019
Published in Procedia Structural Integrity, Volume 17, pp 387–394, 2019

Wang X., Chakraborty J., Klikowicz P., Niederleithinger E.
Monitoring a concrete bridge girder with the coda wave interferometry method
SMAR 2019 - 5th Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures, Postdam, Germany, 27-29 August 2019

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., Wang X., Stolinski M.
Damage Detection in Multiple RC Structures Based on Embedded Ultrasonic Sensors and Wavelet Transform
Buildings, Volumé 11, Issue 2, February 2021

Wang X., Chakraborty J., Niederleithinger E.
Noise Reduction for Improvement of Ultrasonic Monitoring Using Coda Wave Interferometry on a Real Bridge
Journal of Nondestructive Evaluation, 40, Article number: 14 (January 2021)

Chakraborty J., Katunin A., Salamak M., Klikowicz P., Stolinski M.
Damage Detection in Four Point Bending Test on Benchmark RC Structure Using Feature based Fusion
Procedia Structural Integrity, Volume 25, pp 324–333, 2020

Wang X., Chakraborty J., Bassil A., Niederleithinger E.
Detection of Multiple Cracks in Four-Point Bending Tests Using the Coda Wave Interferometry Method
Sensors, Volume 20, Issue 7, April 2020

Chakraborty J., Katunin A., Klikowicz P., Salamak M.
Early crack detection of reinforced concrete structure using embedded sensors
Sensors, Volume 19, Issue 18, September 2019

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

Development of industrial monitoring systems with sensor integration, data fusion and information management

Outreach activities

ESR3 Joyraj Chakraborty:

Maintains and updates an individual blog on a regular basis. Read his posts.
Participated in the BAM PhD day.
Recorded a video as done within the so-called Three Minute Thesis (3MT®). Watch the video.