Industrial diagnostic systems require a governance mechanism that determines whether heterogeneous evidence is admissible, mutually consistent, and sufficient for an automatic action. This paper presents the Diagnostic Evidence Governance Agent (DEGA), a deterministic governance layer built from explicit finite-state m...
Short-term particulate-matter forecasts are strongly influenced by temporal persistence, which can obscure the incremental value of meteorological covariates and seasonality. This study evaluates that incremental value using 42,823 hourly observations of PM10 and meteorological conditions from Kraków, Poland, collected...
S. Penar, Jerzy Baranowski· Applied Sciences· 0 citations
This paper investigates stable and compact diagnostic feature signatures for faults related to demagnetization in brushless direct-current (BLDC) and permanent-magnet synchronous motor (PMSM) drives. Discovery analysis on the public DUDU-BLDC v1 benchmark—where DUDU is the project name derived from the Polish Diagnosty...
Agnieszka Piątek, Jerzy Baranowski· Machines· 0 citations
We study preventive-maintenance scheduling for a small fleet when several assets compete for a limited number of maintenance slots and their remaining useful lives (RULs) are uncertain. The planning horizon is divided into discrete periods; each asset may be maintained at most once, and at most $K$ assets may be mainta...
Autonomous systems increasingly employ Large Language Models (LLMs) as a deliberative layer in situations where classical machine learning methods encounter out-of-distribution scenarios. The use of multiple models in a multi-agent configuration (LLM-MAS) enables mutual validation of responses and reduces the risk of e...
Ján Kapusta, Waldemar Bauer, Jerzy Baranowski· International Conference on...· 0 citations
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