<p>The virus machine model, rooted in biological paradigms, has evolved over recent years to encompass a wide range of applications, showcasing its remarkable adaptability and practical utility. This paper introduces a novel model called fuzzy virus machine, designed specifically for power system fault diagnosis. By integrating fuzzy logic with a viral propagation mechanism, this model enhances the semantic richness and functional capabilities of the original framework. The aim is to boost the efficiency and precision of power system fault diagnosis. Through a detailed explanation of the model’s underlying principles, algorithm implementation, and experimental validation, this paper illustrates its operational mechanism, fault diagnosis capabilities, and feasibility of implementation.</p>