{"id":27,"date":"2023-08-17T10:49:44","date_gmt":"2023-08-17T08:49:44","guid":{"rendered":"https:\/\/predicon.pwr.edu.pl\/?page_id=27"},"modified":"2023-08-17T12:11:55","modified_gmt":"2023-08-17T10:11:55","slug":"publikacje-i-konferencje","status":"publish","type":"page","link":"https:\/\/predicon.pwr.edu.pl\/?page_id=27","title":{"rendered":"Publikacje i konferencje"},"content":{"rendered":"

Publikacje:<\/p>\n

    \n
  1. Machine condition change detection based on data segmentation using a three-regime, \u03b1-stable Hidden Markov Model<\/a>
    \nJ Janczura, T Barszcz, R Zimroz, A Wy\u0142oma\u0144ska
    \nMeasurement, 113399<\/li>\n<\/ol>\n
      \n
    1. Non-Gaussian feature distribution forecasting based on ConvLSTM neural network and its application to robust machine condition prognosis<\/a>
      \nD Szarek, I Jab\u0142o\u0144ski, R Zimroz, A Wy\u0142oma\u0144ska
      \nExpert Systems with Applications, 120588<\/li>\n<\/ol>\n
        \n
      1. Framework for stochastic modelling of long-term non-homogeneous data with non-Gaussian characteristics for machine condition prognosis<\/a>
        \nW \u017bu\u0142awi\u0144ski, K Maraj-Zygm\u0105t, H Shiri, A Wy\u0142oma\u0144ska, R Zimroz
        \nMechanical Systems and Signal Processing 184, 109677<\/li>\n<\/ol>\n
          \n
        1. Application of machine learning tools for long-term diagnostic feature data segmentation<\/a>
          \nF Moosavi, H Shiri, J Wodecki, A Wy\u0142oma\u0144ska, R Zimroz
          \nApplied Sciences 12 (13), 6766<\/li>\n<\/ol>\n

          Konferencje:<\/p>\n

            \n
          1. Modeling and identifying non-stationary long-term historical condition monitoring data in the presence of noise with non-Gaussian characteristics
            \nH Shiri, P Zimroz, A Wylomanska, R Zimroz
            \nSURVISHNO 2023 : Surveillance, Vibrations, Shocks and Noise 10-13 Jul 2023 Toulouse (France)<\/li>\n
          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<\/li>\n
          3. Non-Gaussian noise in rotating machines: sources, impact to local damage detection procedures and possible solutions
            \nby Zimroz Radoslaw,Antoni J\u00e9r\u00f4me, Barszcz Tomasz, Wylomanska Agnieszka, Wodecki Jacek, Hebda-Sobkowicz Justyna, Michalak Anna
            \nSURVISHNO 2023 : Surveillance, Vibrations, Shocks and Noise 10-13 Jul 2023 Toulouse (France)<\/li>\n
          4. Diagnostyka i prognozowanie rozwoju uszkodzenia w warunkach zak\u0142\u00f3ce\u0144 niegaussowskich
            \nby A Wylomanska, R. Zimroz, T. Barszcz, plenary notes from WIBROTECH conference, Pruszk\u00f3w, May, Poland<\/li>\n
          5. Signal processing techniques and statistical modelling for local damage detection in gears and bearings and for machine health prediction
            \nby A. Wylomanska, R. Zimroz
            \nBedlewo k. Poznania<\/li>\n
          6. Tam gdzie ko\u0144czy si\u0119 \u015bwiat gaussowski –\u00a0 nowe wyzwania w diagnostyce maszyn
            \nby A. Wylomanska, R. Zimroz, T. Barszcz
            \nOg\u00f3lnopolska konf. Diagnostyka Maszyn, Wis\u0142a, marzec 2022<\/li>\n<\/ol>\n

             <\/p>\n

             <\/p>\n","protected":false},"excerpt":{"rendered":"

            Publikacje: Machine condition change detection based on data segmentation using a three-regime, \u03b1-stable Hidden Markov Model J Janczura, T Barszcz, R Zimroz, A Wy\u0142oma\u0144ska Measurement, 113399 Non-Gaussian feature distribution forecasting based on ConvLSTM neural network and its application to robust … Czytaj dalej →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-27","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/predicon.pwr.edu.pl\/index.php?rest_route=\/wp\/v2\/pages\/27","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/predicon.pwr.edu.pl\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/predicon.pwr.edu.pl\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/predicon.pwr.edu.pl\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/predicon.pwr.edu.pl\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=27"}],"version-history":[{"count":4,"href":"https:\/\/predicon.pwr.edu.pl\/index.php?rest_route=\/wp\/v2\/pages\/27\/revisions"}],"predecessor-version":[{"id":31,"href":"https:\/\/predicon.pwr.edu.pl\/index.php?rest_route=\/wp\/v2\/pages\/27\/revisions\/31"}],"wp:attachment":[{"href":"https:\/\/predicon.pwr.edu.pl\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=27"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}