Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Process Fault Prediction and Detection

2021/41/B/ST7/03851

Keywords:

data driven models degradation modelling predictive models time series functional data analysis gaussian processes Bayesian statistics

Descriptors:

  • ST6_011:
  • ST7_001:
  • ST7_003:

Panel:

ST7 - Systems and communication engineering: electronics, communication, optoelectronics

Host institution :

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej

woj. małopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Jerzy Antoni Baranowski 

Number of co-investigators in the project: 6

Call: OPUS 21 - announced on 2021-03-15

Amount awarded: 915 076 PLN

Project start date (Y-m-d): 2022-01-18

Project end date (Y-m-d): 2025-01-17

Project duration:: 36 months (the same as in the proposal)

Project status: Project completed

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (9)
  • Articles in post-conference publications (12)
  1. Spatial Modeling of Air Pollution Using Data Fusion
    Authors:
    Adrian Dudek, Jerzy Baranowski
    Academic press:
    Electronics (rok: 2023, tom: 12, strony: 15), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/electronics12153353 - link to the publication
  2. Functional Logistic Regression for Motor Fault Classification Using Acoustic Data in Frequency Domain
    Authors:
    Poręba, J., Baranowski, J.
    Academic press:
    Energies (rok: 2022, tom: 15, strony: 5535), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/en15155535 - link to the publication
  3. Predicting IoT failures with Bayesian workflow
    Authors:
    Baranowski, J.
    Academic press:
    Eksploatacja i Niezawodność (rok: 2022, tom: 24, strony: 248–259), Wydawca: Polish Maintenance Society
    Status:
    Published
    DOI:
    10.17531/ein.2022.2.6 - link to the publication
  4. Modelling of Li-Ion battery state-of-health with Gaussian processes
    Authors:
    Adrian Dudek, Jerzy Baranowski
    Academic press:
    Archives of Electrical Engineering (rok: 2023, tom: 72, strony: 643-689), Wydawca: PAN
    Status:
    Published
    DOI:
    10.24425/aee.2023.146042 - link to the publication
  5. Time Series Prediction in Industry 4.0: A Comprehensive Review and Prospects for Future Advancements
    Authors:
    Nataliia Kashpruk, Cezary Piskor-Ignatowicz,Jerzy Baranowski
    Academic press:
    Applied Sciences (rok: 2023, tom: 13, strony: 22), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/app132212374 - link to the publication
  6. Gaussian Processes for Signal Processing and Representation in Control Engineering
    Authors:
    Dudek, A. and Baranowski, J.
    Academic press:
    Applied Sciences (Switzerland) (rok: 2022, tom: 12, strony: 4946), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/app12104946 - link to the publication
  7. Gaussian Processes for Signal Processing and Representation in Control Engineering
    Authors:
    Dudek, A. and Baranowski, J.
    Academic press:
    Applied Sciences (Switzerland) (rok: 2022, tom: 12, strony: 4946), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/app12104946 - link to the publication
  8. Predicting IoT failures with Bayesian workflow
    Authors:
    Baranowski, J.
    Academic press:
    Eksploatacja i Niezawodność (rok: 2022, tom: 24, strony: 248–259), Wydawca: Polish Maintenance Society
    Status:
    Published
    DOI:
    10.17531/ein.2022.2.6 - link to the publication
  9. Functional Logistic Regression for Motor Fault Classification Using Acoustic Data in Frequency Domain
    Authors:
    Poręba, J., Baranowski, J.
    Academic press:
    Energies (rok: 2022, tom: 15, strony: 5535), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/en15155535 - link to the publication
  1. Recognizing Commutator Motors Fault from Acoustics Signals Using Bayesian Functional Data Depth
    Authors:
    Bauer, W. and Dudek, A. and Baranowski, J.
    Conference:
    26th International Conference on Methods and Models in Automation and Robotics, MMAR 2022 (rok: 2022, tom: 26th International Conference on Methods and Models in Automation and Robotics, strony: 227-231), Wydawca: IEEE
    Data:
    konferencja 22-25 sierpnia 2022
    Status:
    Published
    DOI:
    10.1109/MMAR55195.2022.9874262 - link to the publication
  2. Chebyshev Polynomials for Efficient Gaussian Process Computation
    Authors:
    Adrian Dudek, Jerzy Baranowski
    Conference:
    2023 27th International Conference on Methods and Models in Automation and Robotics, MMAR 2023 - Proceedings (rok: 2023, tom: 27th International Conference on Methods and Models in Automation and Robotics, MMAR 2023, strony: 45663), Wydawca: IEEE
    Data:
    konferencja 22-25.08.2023
    Status:
    Published
    DOI:
    10.1109/MMAR58394.2023.10242501 - link to the publication
  3. Recognizing Commutator Motors Fault from Acoustics Signals Using Bayesian Functional Data Depth
    Authors:
    Bauer, W. and Dudek, A. and Baranowski, J.
    Conference:
    26th International Conference on Methods and Models in Automation and Robotics, MMAR 2022 (rok: 2022, tom: 26th International Conference on Methods and Models in Automation and Robotics, strony: 227-231), Wydawca: IEEE
    Data:
    konferencja 22-25 sierpnia 2022
    Status:
    Published
    DOI:
    10.1109/MMAR55195.2022.9874262 - link to the publication
  4. Cross-Domain Spatial Matching for Monocular 3D Object Detection
    Authors:
    Daniel Dworak, Jerzy Baranowski
    Conference:
    IECON Proceedings (Industrial Electronics Conference) (rok: 2023, tom: 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023, strony: 45663), Wydawca: IEEE
    Data:
    konferencja 16-19 October 2023
    Status:
    Published
    DOI:
    10.1109/IECON51785.2023.10311851 - link to the publication
  5. Spatial modelling of virus transfer and exposure using Bayesian inference with Integrated Nested Laplace Approximation
    Authors:
    Andrzej Nes ́cior, Adrian Dudek, Waldemar Bauer and Jerzy Baranowski
    Conference:
    2023 27th International Conference on Methods and Models in Automation and Robotics, MMAR 2023 - Proceedings (rok: 2023, tom: 27th International Conference on Methods and Models in Automation and Robotics, MMAR 2023, strony: 45663), Wydawca: IEEE
    Data:
    konferencja 22-25.08.2023
    Status:
    Published
    DOI:
    10.1109/MMAR58394.2023.10242588 - link to the publication
  6. Diploma Projects for LAB Equipment Rental - How Students Can Help University in the Covid-19 Era
    Authors:
    Bauer, W. and Grobler-Debska, K. and Kucharska, E. and Baranowski, J.
    Conference:
    Proceedings - 2022 9th IEEE International Conference on e-Learning in Industrial Electronics, ICELIE 2022 (rok: 2022, tom: 2022 9th IEEE International Conference on e-Learning in Industrial Electronics, strony: 22363302), Wydawca: IEEE
    Data:
    konferencja 17-20.10.2022
    Status:
    Published
    DOI:
    10.1109/ICELIE55228.2022.9969434 - link to the publication
  7. Application of Bayesian Functional Gaussian Mixture Model Classifier for Cable Fault Isolation
    Authors:
    Jerzy Baranowski
    Conference:
    Intelligent and Safe Computer Systems in Control and Diagnostics (rok: 2023, tom: 15th International Conference on Diagnostics of Processes and Systems, DPS 2022, strony: 254 - 265), Wydawca: Springer
    Data:
    konferencja 5-7 września 2022
    Status:
    Published
    DOI:
    10.1007/978-3-031-16159-9_21 - link to the publication
  8. Creating Future Engineers: A Case Study of an Interdisciplinary Undergraduate Course in Technologies for Industry 4.0
    Authors:
    Jerzy Baranowski Edyta Kucharska Magdalena Kawalec Paweł Malinowski Grzegorz Piwowarski
    Conference:
    2023 IEEE 10th International Conference on E-Learning in Industrial Electronics, ICELIE 2023 (rok: 2023, tom: 10th IEEE International Conference on E-Learning in Industrial Electronics, ICELIE 2023, strony: 45663), Wydawca: IEEE
    Data:
    konferencja 16-19.10.2023
    Status:
    Published
    DOI:
    10.1109/ICELIE58531.2023.10313099 - link to the publication
  9. Attitude Dynamics Modelling: Fractional Consensus Approach
    Authors:
    Jerzy Baranowski, Waldemar Bauer, Karolina Dukała, Dorota Mozyrska, Małgorzata Wyrwas
    Conference:
    Proceedings of the IEEE Conference on Decision and Control (rok: 2023, tom: IEEE Conference on Decision and Control, strony: 3975 - 3982), Wydawca: IEEE
    Data:
    konferencja 13-15.12.2023
    Status:
    Published
    DOI:
    10.1109/CDC49753.2023.10384130 - link to the publication
  10. How to Teach Fractional Calculus Inspired Electronics Remotely?
    Authors:
    Bauer, W. and Kucharska, E. and Baranowski, J. and Kapoulea, S. and Bertsias, P. and Psychalinos, C.
    Conference:
    Proceedings - 2022 9th IEEE International Conference on e-Learning in Industrial Electronics, ICELIE 2022 (rok: 2022, tom: 22 9th IEEE International Conference on e-Learning in Industrial Electronics, strony: 22363309), Wydawca: IEEE
    Data:
    konferencja 17-20.10.2022
    Status:
    Published
    DOI:
    10.1109/ICELIE55228.2022.9969432 - link to the publication
  11. How to Teach Fractional Calculus Inspired Electronics Remotely?
    Authors:
    Bauer, W. and Kucharska, E. and Baranowski, J. and Kapoulea, S. and Bertsias, P. and Psychalinos, C.
    Conference:
    Proceedings - 2022 9th IEEE International Conference on e-Learning in Industrial Electronics, ICELIE 2022 (rok: 2022, tom: 22 9th IEEE International Conference on e-Learning in Industrial Electronics, strony: 22363309), Wydawca: IEEE
    Data:
    konferencja 17-20.10.2022
    Status:
    Published
    DOI:
    10.1109/ICELIE55228.2022.9969432 - link to the publication
  12. Diploma Projects for LAB Equipment Rental - How Students Can Help University in the Covid-19 Era
    Authors:
    Bauer, W. and Grobler-Debska, K. and Kucharska, E. and Baranowski, J.
    Conference:
    Proceedings - 2022 9th IEEE International Conference on e-Learning in Industrial Electronics, ICELIE 2022 (rok: 2022, tom: 2022 9th IEEE International Conference on e-Learning in Industrial Electronics, strony: 22363302), Wydawca: IEEE
    Data:
    konferencja 17-20.10.2022
    Status:
    Published
    DOI:
    10.1109/ICELIE55228.2022.9969434 - link to the publication

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