20.500.12556/RUL-185103 On simple baselines for domain shift in condition monitoring a case study in bearing fault identification Methods for handling domain shifts in condition monitoring have proliferated, yet their evaluation often lacks rigorous baseline comparisons and systematic isolation of individual shift factors. This paper proposes a task-focused methodology that structures domain shift studies as a pipeline from data collection through task definition, dataset construction, representation, normalization, model specification, and training. Using bearing fault identification as a case study, we introduce the Relative Performance Drop (RPD) metric and conduct over 600,000 evaluations across the Case Western Reserve University and Paderborn University bearing datasets. Our results reveal that domain shift severity depends strongly on which physical factors vary: rotational speed causes substantial degradation (42.8% RPD), load and force have negligible impact, while shifts in fault type or severity suggest the task itself may require reframing rather than more sophisticated algorithms. Design choices often treated as implementation details can influence cross-domain performance as substantially as model architecture, with optimal choices reversing across collections. A difficulty taxonomy clusters domain pairs by their mean and variance of RPD, distinguishing shifts addressable by simple pipeline design, those requiring dedicated adaptation methods, and those indicating ill-posed task definitions. The accompanying open-source implementation enables application of this methodology to new collections and tasks with full reproducibility. condition monitoring domain shift bearing fault identification deep learning baseline study transfer learning spremljanje stanja sprememba domene okvare ležajev globoko učenje izhodiščna študija prenosno učenje true false true Angleški jezik Slovenski jezik Članek v reviji 2026-07-22 15:46:55 2026-07-22 15:47:05 2026-07-23 04:10:13 0000-00-00 00:00:00 2027 0 0 17 str. part 2, art. 113041 Vol. 277 2027 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 62 1879-0836 10.1016/j.ress.2026.113041 285742339 Panic_..._On_simple_baselines.pdf Panic_..._On_simple_baselines.pdf 1 655E5E4241CDA0A5C86587D822F9A134 98aaa518e52a2728dbb27d3f0c94389ba36357d49d59a83c774df7ce107db924 ec5c0772-85d3-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=243300 https://www.sciencedirect.com/science/article/pii/S0951832026008501?via%3Dihub 1 a382f461-85d3-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=243299 Fakulteta za strojništvo 0 0 0