Publikacje i konferencje

Publikacje:

  1. Machine condition change detection based on data segmentation using a three-regime, α-stable Hidden Markov Model
    J Janczura, T Barszcz, R Zimroz, A Wyłomańska
    Measurement, 113399
  1. Non-Gaussian feature distribution forecasting based on ConvLSTM neural network and its application to robust machine condition prognosis
    D Szarek, I Jabłoński, R Zimroz, A Wyłomańska
    Expert Systems with Applications, 120588
  1. Framework for stochastic modelling of long-term non-homogeneous data with non-Gaussian characteristics for machine condition prognosis
    W Żuławiński, K Maraj-Zygmąt, H Shiri, A Wyłomańska, R Zimroz
    Mechanical Systems and Signal Processing 184, 109677
  1. Application of machine learning tools for long-term diagnostic feature data segmentation
    F Moosavi, H Shiri, J Wodecki, A Wyłomańska, R Zimroz
    Applied Sciences 12 (13), 6766

Konferencje:

  1. Modeling and identifying non-stationary long-term historical condition monitoring data in the presence of noise with non-Gaussian characteristics
    H Shiri, P Zimroz, A Wylomanska, R Zimroz
    SURVISHNO 2023 : Surveillance, Vibrations, Shocks and Noise 10-13 Jul 2023 Toulouse (France)
  2. R Zimroz et al Special Session on digital mining, Interdisciplinary topics in mining and geology: XXIII Conference of PhD Students and Young Scientists, Wroclaw, Juna 2023
  3. Non-Gaussian noise in rotating machines: sources, impact to local damage detection procedures and possible solutions
    by Zimroz Radoslaw,Antoni Jérôme, Barszcz Tomasz, Wylomanska Agnieszka, Wodecki Jacek, Hebda-Sobkowicz Justyna, Michalak Anna
    SURVISHNO 2023 : Surveillance, Vibrations, Shocks and Noise 10-13 Jul 2023 Toulouse (France)
  4. Diagnostyka i prognozowanie rozwoju uszkodzenia w warunkach zakłóceń niegaussowskich
    by A Wylomanska, R. Zimroz, T. Barszcz, plenary notes from WIBROTECH conference, Pruszków, May, Poland
  5. Signal processing techniques and statistical modelling for local damage detection in gears and bearings and for machine health prediction
    by A. Wylomanska, R. Zimroz
    Bedlewo k. Poznania
  6. Tam gdzie kończy się świat gaussowski –  nowe wyzwania w diagnostyce maszyn
    by A. Wylomanska, R. Zimroz, T. Barszcz
    Ogólnopolska konf. Diagnostyka Maszyn, Wisła, marzec 2022