Sprotno neinvazivno spremljanje delovanja industrijskega procesa z diskretno-dogodkovnim modelom Online non-invasive monitoring of industrial process operation using a discrete-event model This paper addresses the industrial problem of online supervision of a process sequence on a machine without direct access to its controller. In the first stage, the external continuous signal is segmented and, using a evolving timeseries clustering algorithm, converted into a stream of discrete events. The novelty of this paper is the second stage: a DES model (discrete-event system) that continuously checks the logical correctness of the transition sequence and the temporal correctness of durations against four permitted process paths, with the time bounds determined by the minimum–maximum principle from the training set. On an independent test set, 13 932 successful transitions, 1 393 incorrect-order errors, and 51 timing-bound errors were detected; of 2 009 completed cycles, 565 were regular (28.1%). Since the test set lacks independent labels of actual faults, the proportion of deviating cycles (71.9%) does not necessarily correspond to the proportion of cycles that are actually faulty, as it may also include cycle variants not covered by the selected reference paths. Nevertheless, the results confirm the feasibility of online detection of logical and temporal deviations through the combination of signal-to-event conversion and DES-based supervision. diskretno-dogodkovn model nadzor industrijskih procesov gručenje časovnih vrst discrete-event simulation model industrial process monitoring time series clustering true false true Slovenski jezik Angleški jezik Neznano 2026-11-05 13:51:30 2026-11-05 13:51:31 2026-11-07 03:36:12 0000-00-00 00:00:00 2026 0 0 Str. 265-268 0000-00-00 NiDoloceno Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 681.5 2591-0442 293860611 292311811 RAZ_Andonovski_Goran_2026.pdf RAZ_Andonovski_Goran_2026.pdf 1 638B8A925C89E3ACB7F89718DD532512 a714794260e73c8925f0c9e1ed840a23287f290bc91b00d0f4179a84299dbd39 8c776c71-d917-11f1-aea2-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=252604 https://erk.fe.uni-lj.si/2026/papers/andonvoski(sprotno_neinvazivno).pdf 0 eb8999bc-d917-11f1-aea2-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=252605 Fakulteta za elektrotehniko 0 0 0