Publications

Research within the PRONTO Project is resulting in tangible high-quality outcomes published in the form of conference proceedings, journal papers and talks available on PRONTO ResearchGate page.

Pronto outputs are carefully listed in the H2020 European Platform for Open Access “OpenAir”. Please navigate through the following link:

https://www.openaire.eu/search/project?projectId=corda__h2020::667c97282089d917fb5b9cf124e540c4

Journal articles

  • Stief, A., Ottewill, J.R., Orkisz, M., Baranowski, J., 2017, Two stage data fusion of acoustic, electric and vibration signals for diagnosing faults in induction motors, to appear in Elektronika ir Elektrotechnika, December 2017. http://dx.doi.org/10.5755/j01.eie.23.6.19690
  • Baranowski, J., Bania, P., Prasad, I., Cong, T., 2017, Bayesian fault detection and isolation using field Kalman filter, EURASIP Journal on Advances in Signal Processing, 2017:79, 1-11, http://dx.doi.org/10.1186/s13634-017-0514
  • Tan, R., Cao, Y., Deviation contribution plots of multivariate statistics, Accepted for IEEE Transactions on Industrial Informatics
  • Leo, E., Engell, S., 2018, Integrated day-ahead energy procurement and production scheduling,  Automatisierungtechnik, article in Press
  • Stief, A., Ottewill, J.R., Orkisz, M., Baranowski, J., A PCA – two stage Bayesian sensor fusion approach for diagnosing electrical and mechanical faults in induction motors, IEEE Transactions on Industrial Informatics http://dx.doi.org/10.1109/TIE.2019.2891453
  • Tan, R., and Cao, Y., 2018, Multi-layer contribution propagation analysis for fault diagnosis, International Journal of Automation and Computing (IJAC). (Invited paper for Special Issue on Addressing Global Challenges through Automation and Computing). http://dx.doi.org/10.1007/s11633-018-1142-y

Conference papers

  • Stief, A., Tan, R., Cao, Y., Ottewill, J.R., 2018, Condition monitoring analytics of heterogeneous process data: multiphase flow facility case study, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Lucke, M., Chioua, M., Grimholt, C., Hollender, M., Thornhill, N.F., 2018, Online alarm flood identification using alarm coactivations, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Stief, A., Ottewill, J.R., Orkisz, M., Baranowski, J., 2017, Two stage data fusion of acoustic, electric and vibration signals for diagnosing faults in induction motors, Electronics 2017, 19th-21st June 2017, Palanga, Lithuania
  • Tan, R., Samuel, R.T., Cao, Y., 2017, Multimode nonlinear dynamic process monitoring of a multiphase flow facility, European Symposium on Computer-Aided Process Engineering (ESCAPE-27),  Barcelona, Spain, Oct 1-5, 2017.
  • Tan, R., Cao, Y., 2017, Contribution plots based fault diagnosis of a multiphase flow facility with PCA-enhanced Canonical Variate Analysis, 23rd International Conference on Automation and Computing (ICAC’17), Huddersfield, UK, Sep 7-8, 2017.
  • Tan, R., Samuel, R.T., Cao, Y., 2017, Nonlinear dynamic process monitoring of a multiphase flow facility, European Symposium on Computer-Aided Process Engineering (ESCAPE-27), Barcelona. Spain, Oct 1-5, 2017.
  • Stief, A., Tan, R., Cao, Y., Ottewill, J.R., 2018, Analytics of heterogeneous process data: multiphase flow facility case study, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Lucke, M., Chioua, M., Grimholt, C., Hollender, M., Thornhill, N.F., 2018, On improving fault detection and diagnosis using alarm-range normalisation, 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2018, Warsaw, Poland, 29-31 August 2018.
  • Stief, A., Tan, R., Cao, Y., Ottewill, J.R., 2018, Process and alarm data integration under a two-stage Bayesian framework for fault diagnostics, 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2018, Warsaw, Poland, 29-31 August 2018.
  • Cong, T., and Baranowski, J., 2018, Binary classifier for fault detection based on Gaussian model and PCA, 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2018, Warsaw, Poland, 29-31 August 2018.
  • Stief, A., Ottewill, J.R., Baranowski, J., 2018, Relief-based feature ranking and feature selection for monitoring induction motors, 23rd IEEE International Conference on Methods and Models in Automation and Robotics, Międzyzdroje, Poland, 27-30 Aug, 2018.
  • Cong, T., and Baranowski, J., 2018, Binary classifier for fault detection based on KDE and PCA, 23rd IEEE International Conference on Methods and Models in Automation and Robotics, Międzyzdroje, Poland, 27-30 Aug, 2018.
  • Tan, R., Cong, T, Thornhill, N.F., Ottewill, J.R., and Baranowski, J., 2019 Statistical monitoring of processes with multiple operating modes, submitted for the 12th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS 2019).
  • Lucke, M., Mei, X., Stief, A., Chioua, M., and Thornhill, N.F., Variable selection for fault detection and identifi
    cation based on mutual information of alarm series, Submitted for the 12th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS 2019).
  • Stief, A., Ottewill, J.R., and Baranowski, J., 2019, Investigation of the diagnostic properties of sensors and features in a multiphase flow facility case study, 12th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS 2019)
  • Bradford, E., and Imsland, L., Stochastic nonlinear model predictive control using Gaussian processes, European Control Conference 2018 (ECC 2018).
  • Schulze Spüntrup, F., Londoño, J.G., Skourup, C., Thornhill, N.F., and Imsland, L., 2018, Reliability improvement of compressors based on asset fleet reliability data, 3rd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production, Esbjerg, Denmark, May 30 – June 01, 2018
  • Leo, E., Engell, S. , A two-stage stochastic programming approach to integrated short-term electricity procurement and production scheduling, European Symposium on Computer-Aided Process Engineering 2018 (ESCAPE-28)
  • Dalle Ave, G., Wang, X., Harjunkoski, I., Engell, S., A heuristic neighborhood search-based approach for the solution of resource-task network scheduling problems, European Symposium on Computer-Aided Process Engineering 2018 (ESCAPE-28)
  • Leo, E., Engell, S., Multi-stage integrated electricity procurement and production scheduling, PSE 2018
  • Dalle Ave, G., Harjunkoski, I., Engell, S., Industrial demand side management formulation for simultaneous electricity load commitment and future load prediction, PSE 2018
  • Bradford, E., Imsland, L., Economic model predictive control of batch processes using parameterized control policies, PSE 2018
  • Schulze Spüntrup, F., Imsland, L. Asset fleet management in the process industry – a conceptual model, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Bradford, E., Imsland, L., Economic stochastic nonlinear model predictive control using the square-root unscented Kalman filter, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Schulze Spüntrup, F., 2017, A data-based decision support system for compressor fleet energy management, Advances in Process Automation and Control 2017, 14th June 2017, Birmingham, UK.
  • Bradford, E., Imsland, L., 2017, Expectation constrained stochastic nonlinear model predictive control of a bioreactor, European Symposium on Computer-Aided Process Engineering (ESCAPE-27), Barcelona, Spain, Oct 1-5, 2017.
  • Leo, E., Engell, S., 2017, Condition-based operational optimization of industrial combined heat and power plants under time-sensitive electricity prices, European Symposium on Computer-Aided Process Engineering (ESCAPE-27), Barcelona, Spain, Oct 1-5, 2017.
  • Schulze Spüntrup, F., Dalle Ave, G., Imsland, L.S., and Harjunkoski, I., 2019, Optimal maintenance scheduling for washing of compressors to increase efficiency, ESCAPE 2019
  • Dalle Ave, G, Alici, M., Harjunkoski, I., and Engell, S., 2019, An explicit online resource-task network scheduling formulation to avoid scheduling nervousness, ESCAPE 2019
  • Bradford, E., Imsland, L.S., 2019, Stochastic nonlinear model predictive control of a batch fermentation process, ESCAPE 2019
  • Dalle Ave, G., Hernandez, J.,  Harjunkoski, I., and Engell, S., Demand-side management scheduling formulation for a steel plant considering electrode degradation, 12th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS 2019).
  • Schulze Spüntrup, F., Dalle Ave, G., Imsland, L.S., and Harjunkoski, I., Performance-based maintenance planning for asset fleets, 12th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS 2019).
  • Bradford, E., Reble, M., Bouaswaig, A.E.F., and Imsland, L.S.,  Economic stochastic nonlinear model predictive control of a semi-batch polymerization reaction,  12th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS 2019).
  • Zagorowska, M., Thornhill, N.F., and Skourup, C., 2018, Dynamic modelling and control of a compressor using Chebyshev polynomial approximation, ASME Turbo Expo 2018
  • Galan, A., De Prada, C., Gutierrez, G., Sarabia, D., Gonzalez, R., Sola, M., Marmol, S., Validation of a hydrogen network RTO application for decision support of refinery operators, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Gutierrez, G., Galan, A., Sarabia, D., De Prada, C., Two-stage stochastic optimization of a hydrogen network, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Zagorowska, M., Thornhill, N.F., Haugen, T., and Skourup, C., 2018, Load-sharing strategy taking account of compressor degradation, 2nd IEEE Conference on Control Technology and Applications, Copenhagen, August 21-24, 2018.
  • Borghesan, F., Chioua, M., and Thornhill, N.F., MPC with disturbance forecasting for the control of the level of a tank with limited buffer capacity, IEEE Med Conference, 2018.
  • Borghesan, F., Thornhill, N.F., Chioua, M., Forecast of persistent disturbances in process systems using a k-nearest neighbor and a weighted k-nearest neighbor method, PSE 2018.
  • Wu, O., Bouaswaig, A.E.F., Schneider, S.M., Leira, F.M., Imsland, L., and Roth, M., 2018, Data-driven degradation model for batch processes: a case study on heat exchanger fouling, European Symposium on Computer-Aided Process Engineering 2018 (ESCAPE-28).
  • Zagorowska, M., and Thornhill, N.F., 2017, Compressor map approximation using Chebyshev polynomials, 25th Mediterranean Conference on Control and Automation, 3-6 July 2017, Valetta, Malta, pp 864-869.
  • Galan, A., De Prada, C., Gutierreza, G., Sarabia, D., González, R., Sola, M., Marmol, S., Pascua, C., 2017, Resource efficiency indicators usefulness for decision-making process of operators: refinery hydrogen network case study. European Symposium on Computer-Aided Process Engineering (ESCAPE-27),  Barcelona, Spain, Oct 1-5, 2017
  • Galan, A., De Prada, C., Gutierrez, G., Sarabia, D.,  González, R., 2017, Dynamic simulation applied to refinery hydrogen networks, XXXVIII Jornadas de Automática JA2017 (Conference on Automation, Gijón, Spain, 6-8 September 2017
  • Galan, A., De Prada, C., Gutierrez, G., Sarabia, D., Gonzalez, R., Sola, M., Marmol, S., Validation of a hydrogen network RTO application for decision support of refinery operators, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Gutierrez, G., Galan, A., Sarabia, D., De Prada, C., Two-stage stochastic optimization of a hydrogen network, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Zagorowska, M., Thornhill, N.F., Haugen, T., and Skourup, C., 2018, Load-sharing strategy taking account of compressor degradation, 2nd IEEE Conference on Control Technology and Applications, Copenhagen, August 21-24, 2018.
  • Borghesan, F., Chioua, M., and Thornhill, N.F., MPC with disturbance forecasting for the control of the level of a tank with limited buffer capacity, IEEE Med Conference, 2018.
  • Galan, A., De Prada, C., Gutierrez, G., Sarabia, D., Gonzalez, Predictive simulation applied to refinery hydrogen networks for operators’ decision support, 12th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS 2019).
  • Wu, O., Dalle Ave, G., Harjunkoski, I., Imsland, L.S.,  Schneider, S.M., Bouaswaig, A.E.F., and Roth, M., 2019, Short-term scheduling of multi-purpose batch plant in consideration of degradation effects,  Submitted for ESCAPE 2019
  • Wu, O., Imsland, L.S.,  Brekke, E., Stefan M. Schneider, S.M., Bouaswaig, A.E.F., and Roth, M., 2019, Robust state estimation for fouling evolution in batch processes using the EM algorithm, 12th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS 2019).
  • Zagorowska, M., Ditlefsen, A-M., Thornhill, N.F., and Skourup, C., 2019, Compressor degradation modelling using moving window trend analysis, 12th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS 2019).

Presentations

  • Schulze Spüntrup, F., 2017, A data-based decision support system for compressor fleet energy management, Presentation from Advances in Process Automation and Control 2017, 14th June 2017, Birmingham, UK.
  • Dalle Ave, G, Harjunkoski, I., and Engell, S., 2018, A rolling horizon scheduling algorithm considering electricity load tracking and future load prediction, presented at AIChE Annual Meeting 2018.