@ARTICLE{Kiciński_Jan_Attempts_Early, author={Kiciński, Jan and Żywica, Grzegorz}, pages={e152707}, journal={Bulletin of the Polish Academy of Sciences Technical Sciences}, howpublished={online}, year={Early Access}, abstract={On any website or in encyclopaedias such as Britannica or Wikipedia, under the entry 'heuristics', one can find numerous definitions, references, and examples from various areas of life. However, the authors of this article have been unable to find examples relevant to technology, particularly in mechanical engineering. This fact inspired us to address this topic, especially since many concrete examples from practice and everyday life seem well-suited to demonstrating the relevance of heuristic methodologies in technical sciences. According to the authors, turbomachinery appears to be of particular interest in this context. This is critical machinery, i.e., machinery whose failure threatens human life. Hence the importance of developing advanced tools to analyse them, especially across the entire operating range (both stable and unstable). With these tools, one can effectively use their intellect, intuition, and common sense in the decision-making process. A classic heuristic symbiosis is thus formed. The paper demonstrates an advanced computer system called MESWIR, developed at the Institute of Fluid-Flow Machinery of the Polish Academy of Sciences in Gdańsk (IMP PAN) generates a range of interesting diagnostic information, including multiple whirls and stochastic errors related to the unbalance vector. The research was carried out using high-speed, low-power turbines as examples. The results obtained in this way, although they do not have formal theoretical proof of their correctness, allow the right conclusions to be drawn and decisions to be made, which is the essence of decision-making heuristics.}, title={Attempts to apply heuristic research methodology in mechanical engineering on the example of rotating machines}, type={Article}, URL={http://journals.pan.pl/Content/133406/PDF/BPASTS-04638-EA.pdf}, doi={10.24425/bpasts.2024.152707}, keywords={heuristic, stochastic error, multiple whirl, rotating machine}, }