The issue of industrial efficiency losses due to equipment downtime caused by faults in electrical cabinets is highly relevant. However, traditional manual fault diagnosis methods are labor-intensive, depend heavily on personnel qualifications, and involve a high risk of errors. To address this, the paper proposes a Fault Detection Automation System (FDAS) that implements a formalized step-by-step diagnostic process. The system is based on an event-driven architecture and a unified two-zone interface combining the display of technical documentation with interactive instructions. The system sequentially guides the user through stages of visual inspection, electrical measurements, and automatic generation of a structured diagnostic report. The paper substantiates the advantages of the proposed hybrid approach over existing theoretical-mathematical, hardware, and software diagnostic methods. The presented system, registered as an intellectual property product, aims to standardize diagnostic procedures, improve reproducibility, and minimize human error. The conclusion discusses current limitations and outlines prospects for further development, including industrial testing and functionality enhancement.