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Research presentation

Niclas Björsell

Research presentation

Niclas Björsell

Professor

Research subject: Electrical engineering

Niclas Björsell received his B.Sc. in Electrical Engineering and his Lic. Ph. in Automatic control from Uppsala University, Sweden in 1994 and 1998, respectively; he received his Ph. D. in Telecommunication from the Royal Institute of Technology, Stockholm, Sweden, in 2007. In 2012 he was appointed Docent in Telecommunications at the Royal Institute of Technology, Stockholm. He has been full Professor since 2021.

For more than 25 years he has hold positions in the academy as well as in industry. He has almost 20 years of experience from research and development projects; both national and international and mainly in collaborations between industry and the academy. He is currently Associate Professor at the University of Gävle and program director for the study program in Automation Engineering. He has published more than 80 papers in international peer-review journals and conferences, and his research interests include radio frequency measurement technology, analog-to-digital conversion, non-linear systems, wireless communication and automation.

CURRENT RESEARCH

Currently, Niclas Björsell is involved in two research projects, one within wireless communication for automation systems and one within medical measurement technology.

Predictive Maintenance from a System Perspective

Effective maintenance is critical to most operations; maintenance activities extend equipment lifetime, improve
reliability, and prevent deterioration. Thereby it is defined to be one of inner most circles in a circular economy.
Industrial maintenance is basically reactive, corrective and preventive, not taking into consideration the huge amount
of data being generated on the shop floor, nor the available new digital technologies that have emerged in recent
years. To be proactive and predictive, maintenance strategies can take advantage of emerging digitalized
technologies such as advanced data analysis, machine learning, big data and cloud computing to collect, store and
analyze the available data.
The project focuses on digitalized maintenance in the process industry in general and the steel industry in particular.
These industries differ, to some extent, from the manufacturing industry, since it is common to have production units
that gradually and continuously process raw materials through various interconnected sub-systems into the final
products. Optimizing maintenance for an individual sub-system does not necessarily mean the optimum for a
continuous process. In process industry a stop in a sub-system often results in a stop of the entire process chain. The
project adds a new way of thinking with a systems perspective that is extra important in process industries.
Although analyzes of data are important, they will not be useful unless analyzes can be fed back to operators and
decision-makers to make the right decision about action. Visualizations in 2D and 3D have been suggested previously
as powerful tools in intelligent maintenance. Albeit, the system of system perspective means an increased complexity
not least for those who have to make decisions based on the data generated. Due to the complexity of the data
collected from the process and due to the intertwined nature of the involved sub-systems it is crucial that the data is
visualized in an efficient way that enables comprehension by for operators and maintenance personnel enabling them
to diagnose the status of the system and to make well-informed decisions.
This project involves three leading steel companies OVAKO, Sandvik SMT and SSAB together with ABB and the
University of Gävle (HiG). By jointly developing and evaluating methods for predictive maintenance and visual
decision support as well as implementing it on industrial control and monitoring systems, conditions are created for
predictive maintenance of cooperating machines.

Innovative Digital Maintenace

The digitization of industry creates new opportunities for SMEs in several different areas. This project intends to focus on the possibilities for more efficient maintenance in existing production, new services for maintenance and maintenance planning, added value for products and to create an attractive workplace for a widened staff group. The overarching goal is that above all small and medium-sized companies within the region should increase competitiveness and employment. In the long term, it leads to positive effects on human capital, innovativeness, economic profitability, circular economy and regional attractiveness. The project begins with an inventory in order to identify where the company is in the digitization process today and where it wants to be in the future. Four work packages are then carried out: (i) An activity based on participant-driven competence development, (ii) using machine learning to produce digital twins which can be used for predictive maintenance. (iii) Predictive maintenance, where we estimate the remaining service life and thus the need for maintenance. (iv) The final work package consists of communicating results to an operator and/or maintenance planner. Within the project, a number of case studies will be carried out at participating SME companies.

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Conference papers

Osa, J., Björsell, N., Ängskog, P., Val, I. & Mendicute, M. (2023). 60 GHz mmWave Signal Propagation Characterization in Workshop and Steel Industry. IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS: IEEE. 10.1109/wfcs57264.2023.10144240 [More information]
Hosseinzadeh Dadash, A. & Björsell, N. (2023). Adaptive Finite Horizon Degradation-Aware Regulator. 16th European Workshop on Advanced Control and Diagnosis (ACD 2022), Nancy, France, November 16-18, 2022. External link [More information]
Hosseinzadeh Dadash, A. & Björsell, N. (2023). Degradation Simulator for Infinite Horizon Controlled Linear Time-Invariant Systems. 16th European Workshop on Advanced Control and Diagnosis (ACD 2022), Nancy, France,  November 16-18, 2022. External link [More information]
Andersson, R. & Björsell, N. (2023). The Technical Challenges in Orthotic Exoskeleton Robots with Future Directions: a Review Paper. : IEEE. 10.1109/ITIKD56332.2023.10099850 [More information]
Panigrahi, S., Björsell, N. & Bengtsson, M. (2022). Path Loss at the 24 GHz ISM band for Industrial Indoor Environments. IEEE International Conference on Factory Communication Systems (WFCS). External link [More information]
Panigrahi, S., Björsell, N. & Bengtsson, M. (2022). Power Delay Profile investigation in Industrial Indoor Environments at the 24 GHz ISM band. 2022 IEEE International Conference on Industrial Technology (ICIT): IEEE. 10.1109/icit48603.2022.10002732 [More information]
Söderberg, L., Björsell, N., Rogström, M. & Valizadeh, S. (2022). Science Technology Park role in the Knowledge Triangle Model. . [More information]
Andersson, R. & Björsell, N. (2022). The MATLAB Simulation and the Linear Quadratic Regulator Torque Control of a Series Elastic Actuator for a Rehabilitation Hip Exoskeleton. : IEEE. 10.1109/IRCE55557.2022.9963074 [More information]
Bemani, A. & Björsell, N. (2021). Distributed Event-Triggered Control of Vehicular Networked System with Bursty Packet Drops. 2021 7th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP). Krakow, Poland: IEEE. P. 1-7. 10.1109/EBCCSP53293.2021.9502365 [More information]
Björsell, N. & Hosseinzadeh Dadash, A. (2021). Finite Horizon Degradation Control of Complex Interconnected Systems. Proceedings of the 17th IFAC Symposium on Information Control Problems in Manufacturing Budapest, Hungary, June 7-9, 2021: Elsevier. P. 319-324. 10.1016/j.ifacol.2021.08.036 [More information]
Andersson, R., Björsell, N. & Isaksson, M. (2021). Robots are a promising investment to fight pandemics. 2021 8th International Conference on Signal Processing and Integrated Networks (SPIN): IEEE. P. 458-463. 10.1109/SPIN52536.2021.9566116 [More information]
Panigrahi, S., Rana, S., Björsell, N. & Bengtsson, M. (2020). A study of delay and doppler spreads at 24 GHz ISM band. 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob): IEEE. P. 1-6. 10.1109/WiMob50308.2020.9253376 [More information]
Bemani, A. & Björsell, N. (2020). Cyber-Physical Control of Indoor Multi-vehicle Testbed for Cooperative Driving. 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS): IEEE. P. 371-377. 10.1109/ICPS48405.2020.9274688 [More information]
Panigrahi, S., Björsell, N. & Bengtsson, M. (2020). Distributed detection with non-identical sensors : Fusion in the air or at the receiver?. 2020 IEEE Wireless Communications and Networking Conference (WCNC). P. 1-6. 10.1109/WCNC45663.2020.9120753 [More information]
Panigrahi, S., Björsell, N. & Bengtsson, M. (2019). Distributed detection with non-identical wireless sensors for industrial applications. Proceedings of the IEEE International Conference on Industrial Technology: IEEE. P. 1403-1408. 10.1109/ICIT.2019.8755012 [More information]
Mattsson, P., Zachariah, D. & Björsell, N. (2019). Flexible Models for Smart Maintenance. Proceedings 2019 IEEE International Conference on Industrial Technology (ICIT): IEEE. P. 1772-1777. 10.1109/ICIT.2019.8754932 [More information]
Krishnan, R., Cruciani, S., Gutierrez-Farewik, E., Björsell, N. & Smith, C. (2018). Reliably Segmenting Motion Reversals of a Rigid-IMU Cluster Using Screw-Based Invariants. 2018 IEEE-RAS 18TH INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS). P. 88-95. 10.1109/HUMANOIDS.2018.8624969 [More information]
Rönnow, D., Björsell, N. & Laporte-Fauret, B. (2017). Determination of elongation of electrically small objects in building structures by polarimetric synthetic aperture radar. I2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference : Proceedings. Torino: IEEE. P. 1520-1524. 10.1109/I2MTC.2017.7969898 [More information]
Panigrahi, S., Björsell, N. & Bengtsson, M. (2017). Feasibility of Large Antenna Arrays towards Low Latency Ultra Reliable Communication. 2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT). P. 1289-1294. 10.1109/ICIT.2017.7915549 [More information]
Panigrahi, S., Björsell, N. & Bengtsson, M. (2017). Large Antenna Array for Low-Latency and Ultra-Reliable Communication. . External link [More information]
Krishnan, R., Björsell, N. & Smith, C. (2017). Segmenting humeral submovements using invariant geometric signatures. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (Iros): IEEE. P. 6951-6958. 10.1109/IROS.2017.8206619 [More information]
Krishnan, R. & Björsell, N. (2017). SHAPE Algorithm for Approximate Computation of Angular Velocities in Humeral Motion. 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC): IEEE. P. 714-718. 10.1109/I2MTC.2017.7969776 [More information]
Krishnan, R., Björsell, N. & Smith, C. (2016). How do we plan movements? : A geometric answer. School and symposium on advanced neurorehabilitation (SSNR2016) : Proceedings. P. 16-17. External link [More information]
Krishnan, R., Björsell, N. & Smith, C. (2016). Human shoulder functional kinematics: Are we ready for the high-reliability computational challenge?. . [More information]
Krishnan, R., Björsell, N. & Smith, C. (2016). Invariant Spatial Parametrization of Human Thoracohumeral Kinematics : A Feasibility Study. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): IEEE Robotics and Automation Society. P. 4469-4476. 10.1109/IROS.2016.7759658 [More information]
Hamid, M. & Björsell, N. (2015). Frequency Hopping for Fair Radio Resources Allocation in TVWS. ICWMC 2015 : The Eleventh International Conference on Wireless and Mobile Communications. P. 71-76. External link [More information]
Qin, X. & Björsell, N. (2015). Measurement of horses gaits using geo-sensors. 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). P. 330-333. 10.1109/I2MTC.2015.7151289 [More information]
Yang, T., Zenteno, E. & Björsell, N. (2014). Measurement imperfections impact on the performance of digitally predistorted power amplifiers. 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings. P. 230-233. 10.1109/I2MTC.2014.6860742 [More information]
Hamid, M., Björsell, N. & Slimane, B. (2014). Sample covariance matrix eigenvalues based blind SNR estimation. 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings. P. 718-722. 10.1109/I2MTC.2014.6860836 [More information]
Van Moer, W., Barbe, K. & Björsell, N. (2013). A novel spectral subtraction technique for cognitive radios. TEST text DONOTREMOVE. Ska tas bort 20 mars 2023. P. 118-121. 10.1109/I2MTC.2013.6555393 [More information]
Björsell, N. & Van Moer, W. (2013). Adding errors to reduce the PAPR and BER of OFDM-based transmissions. 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2013). New York: IEEE. P. 743-746. 10.1109/I2MTC.2013.6555514 [More information]
Hamid, M., Ferrer Coll, J., Björsell, N., Chilo, J. & Van Moer, W. (2013). Multi-Interference Detection Algorithm using Discriminant Analysis in Industrial Environments. 39th Annual Conference of the IEEE Industrial Electronics Society (IECON 2013). New York: IEEE conference proceedings. P. 5600-5604. 10.1109/IECON.2013.6700051 [More information]
Gonzales Fuentes, L., Barbe, K., Van Moer, W. & Björsell, N. (2012). Cognitive radios : discriminant analysis finds the free space. 2012 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). New York: IEEE conference proceedings. P. 2242-2247. 10.1109/I2MTC.2012.6229162 [More information]
Hamid, M. & Björsell, N. (2012). Maximum Minimum Eigenvalues Based Spectrum Scanner for Cognitive Radios. 2012 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). New York: IEEE conference proceedings. P. 2248-2251. 10.1109/I2MTC.2012.6229450 [More information]
Van Moer, W., Björsell, N., Hamid, M., Barbe, K. & Nader, C. (2012). Saving lives by integrating cognitive radios into ambulances. Medical Measurements and Applications Proceedings (MeMeA), 2012 IEEE International Symposium on. Budapest. P. 1-4. 10.1109/MeMeA.2012.6226619 [More information]
Hamid, M., Barbe, K., Björsell, N. & Van Moer, W. (2012). Spectrum sensing through spectrum discriminator and maximum minimum eigenvalue detector : a comparative study. 2012 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). New York: IEEE conference proceedings. P. 2252-2256. 10.1109/I2MTC.2012.6229452 [More information]
Björsell, N., De Vito, L. & Rapuano, S. (2011). A GNU radio-based signal detector for cognitive radio systems. 2011 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). New York: IEEE conference proceedings. P. 1045-1049. 10.1109/IMTC.2011.5944235 [More information]
Hamid, M. & Björsell, N. (2011). A Novel Approach for Energy Detector Sensing Time and Periodic Sensing Interval Optimization in Cognitive Radios. Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management. New York: ACM Press. 10.1145/2093256.2093314 [More information]
Nader, C., Van Moer, W., Barbé, K., Björsell, N. & Händel, P. (2011). Characterizing the out-of-band nonlinear behaviour of RF devices : the key to success. 2011 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). New York: IEEE conference proceedings. P. 790-794. 10.1109/IMTC.2011.5944022 [More information]
Nader, C., Van Moer, W., Barbé, K., Björsell, N. & Händel, P. (2011). Evolved Harmonic Sampling : a Tool to Reduce the Digital Bandwidth Requirement of RF Receivers. RFMTC11. Gävle. [More information]
Hamid, M. & Björsell, N. (2011). Geo-location Spectrum Opportunities Database in Downlink Radar Bands for OFDM Based Cognitive Radios. . UK: IEEE UK&RI. External link [More information]
Hamid, M. & Björsell, N. (2011). Maximum Minimum Eigen Values Based Spectrum Scanner in GNU Radio. RFMTC11. Gävle. [More information]
Voet, K., Händel, P., Björsell, N. & Van Moer, W. (2011). Mirrored parallel Hammerstein predistortion for multitone generation. 2011 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC). P. 814-817. 10.1109/IMTC.2011.5944045 [More information]
Voet, K., Van Moer, W., Björsell, N. & Händel, P. (2011). Nonlinear Measurement Instruments : a Comparative Study. RFMTC11. Gävle. [More information]
Fraile, F., Nader, C., Guerri, J. & Björsell, N. (2011). On the reuse of DVB-T transmitter infrastructure for DVB-T2. . 10.1109/BMSB.2011.5954964 [More information]
Landin, P., Nader, C., Van Moer, W., Björsell, N., Isaksson, M. & Händel, P. (2011). Overview of Synergetic OFDM Crest Factor Reduction and Digital Pre-Distortion for RF PAs. RFMTC11. External link [More information]
Nader, C., Landin, P., Van Moer, W., Björsell, N., Händel, P. & Isaksson, M. (2011). Peak-to-average power ratio reduction versus digital pre-distortion in OFDM based systems. 2011 IEEE MTT-s International Microwave Symposium: Institute of Electrical and Electronics Engineers Inc. P. 5972830-. 10.1109/MWSYM.2011.5972830 [More information]
Björsell, N., Händel, P., Jansson, M. & Medawar, S. (2010). Improved Estimate of Parametric Models for Analogue to Digital Converters by Using Weighted Integral Nonlinearity Data. 17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 : Environmental Measurements. P. 597-600. [More information]
Medawar, S., Händel, P., Björsell, N. & Jansson, M. (2010). Model order determination and segmentation of analog-digital converters integral non linearity. 2010 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2010 : Proceedings. P. 36-41. 10.1109/IMTC.2010.5488188 [More information]
Björsell, N., Nader, C. & Händel, P. (2010). Multi-tone design for out-of-band characterization of nonlinear RF modules using harmonic sampling. 2010 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2010 : Proceedings. Piscataway, NJ: IEEE Service Center. P. 620-623. 10.1109/IMTC.2010.5488231 [More information]
Nader, C., Händel, P. & Björsell, N. (2010). OFDM PAPR Reduction by Convex Optimization : A Power Amplifier Point-of-View. 2010 IEEE International Microwave Workshop Series on "RF Front-ends for Software Defined and Cognitive Radio Solutions" : IMWS 2010 - Proceedings. 10.1109/IMWS.2010.5440994 [More information]
Medawar, S., Händel, P., Björsell, N. & Jansson, M. (2010). Pipelined Analog-Digital Converters Integral Nonlinearity Modeling for Post-Correction. 17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 : Environmental Measurements. P. 585-590. [More information]
Andersen, O., Björsell, N. & Keskitalo, N. (2009). A Test-Bed Designed to Utilize Zhu’s General Sampling Theorem to Characterize Power Amplifiers. Instrumentation and measurement technology conference 2009 I2MTC '09 IEEE. Singapore. P. 201-204. 10.1109/IMTC.2009.5168443 [More information]
Nader, C., Altahir, H., Andersen, O., Björsell, N., Condo, E., Keskitalo, N. & De La Rosa, H. (2009). Automated multidimensional characterization of power amplifier for design and production. 2009 IEEE Instrumentation and Measurement Technology Conference Proceedings. Singapore: I&M Society. P. 144-148. 10.1109/IMTC.2009.5168432 [More information]
Björsell, N., Daponte, P., De Vito, L. & Rapuano, S. (2009). Automatic signal recognition for a flexible spectrum management. XIX IMEKO World Congress. P. 568-573. [More information]
Fraz, H., Björsell, N., Kenney, J. & Sperlich, R. (2009). Prediction of Harmonic Distortion in ADCs using dynamic Integral Non-Linearity model. Behavioral Modeling and Simulation Workshop, 2009. BMAS 2009. IEEE. P. 102-107. 10.1109/BMAS.2009.5338881 [More information]
Landin, P., Nader, C., Björsell, N., Isaksson, M., Wisell, D., Händel, P., Andersen, O. & Keskitalo, N. (2009). Wideband Characterization of Power Amplifiers Using Undersampling. 2009 IEEE MTT-S International Microwave Symposium. Boston: IEEE MTT. P. 1365-1368. External link [More information]
Nader, C., Landin, P., Björsell, N., Isaksson, M., Wisell, D., Händel, P., Andersen, O. & Keskitalo, N. (2009). Wideband Power Amplifiers Characterization by Undersampling : Zhu-Frank Sampling Theorem. . [More information]
Medawar, S., Händel, P., Björsell, N. & Jansson, M. (2008). ADC characterization by dynamic integral nonlinearity. Proceedings of the 13th Workshop on ADC Modelling and Testing. P. 1037-1042. External link [More information]
Luque, C. & Björsell, N. (2008). Improved dynamic range for multi-tone signal using model-based pre-distortion. Proceedings of the 13th Workshop on ADC Modelling and Testing. P. 1003-1007. [More information]
Luque, C. & Björsell, N. (2008). Model-Based Pre-Distortion for Signal Generators. GigaHertz Symposium 2008 : abstract book. Göteborg: Chalmers. P. 88-88. External link [More information]
Siddiq, M. & Björsell, N. (2008). Synthetic Instruments : an overview. Nordic Test Forum 2008. [More information]
Medawar, S., Björsell, N., Händel, P. & Jansson, M. (2007). Dynamic characterization of analog-digital-converters. Mosharaka International Conference on Wireless Communications and Mobile Computing. [More information]
Björsell, N., Isaksson, M., Händel, P. & Rönnow, D. (2007). Kautz-Volterra modelling of an analogue-to-digital converter using a stepped three-tone excitation. 12th IMEKO TC-4 International Workshop on ADC MODELLING AND TESTING, Iasi, Romania, September 2007. P. 107-112. External link [More information]
Händel, P., Björsell, N. & Jansson, M. (2007). Model based dynamic characterization of analog-digital converters at radio frequency. ISSPA 2007 9th International symposium on signal processing and its applications. Vols 1-3. P. 1403-1408. 10.1109/ISSPA.2007.4555623 [More information]
Händel, P., Björsell, N., Jansson, M. & Medawar, S. (2007). Modeling the dynamics of analog-digital-converters at radio frequency. RF Measurement Technology Conference, Gävle 11-12 September 2007. [More information]
Björsell, N. & Händel, P. (2007). Post-Correction of Under-Sampled Analog to Digital Converters. IEEE Instrumentation and Measurement Technology Conference. 10.1109/IMTC.2007.379429 [More information]
Björsell, N. & Händel, P. (2006). Dynamic behavior models of analog to digital converters aimed for post-correction in wideband applications. IMEKO Workshop on ADC and DAC Modelling and Testing, September 17-22, 2006, Rio de Janeiro. P. 5-. External link [More information]
Björsell, N., Rönnow, D. & Händel, P. (2006). Measuring Volterra kernels of analog to digital converters using a stepped three-tone scan. Proceedings of the IEEE Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. P. 1047-1050. 10.1109/IMTC.2006.328342 [More information]
Björsell, N. & Händel, P. (2005). A Statistical Evaluation of ADC Histogram Tests with Arbitrary Stimuli Signal. ADDA 2005. P. 259-264. 10.1049/cp:20050168 [More information]
Björsell, N. & Händel, P. (2005). Analog-to-Digital Converters for High-Speed Applications. GigaHz 2005. P. 151-154. [More information]
Björsell, N., Andersen, O. & Händel, P. (2005). High Dynamic Range Test-Bed for Characterization of Analog-To-Digital Converters Up To 500 MSPS. 10th Workshop on ADC modelling and testing. P. 601-604. External link [More information]
Björsell, N. & Händel, P. (2005). On Gaussian and Sine Wave Histogram Tests for Wideband Applications. IMTC 2005, Ottawa. P. 677-682. 10.1109/IMTC.2005.1604203 [More information]
Björsell, N. & Händel, P. (2004). Benefits with Truncated Gaussian Noise in ADC Histogram Tests. IMEKO 04. P. 787-792. [More information]
Published by: Camilla Haglund Page responsible: Gunilla Mårtensson Updated: 2022-06-22
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