Abstract
The paper is aimed at presenting a study of the main limitations and problems influencing the robustness
of diagnostic algorithms used in diagnostics of complex chemical processes and to present the
selected exemplary solutions of how to increase it. The five major problems were identified in the
study. They are associated with: uncertainties of fault detection and reasoning, changes of the diagnosed
process structure, delays of fault symptoms formation and multiple faults. A brief description
and exemplary solutions allowing increase of the robustness of diagnostic algorithms were given. Proposed
methods were selected keeping in mind applicability for the on-line monitoring and diagnostics
of complex chemical processes.
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