Research and application of rational intelligent agent technology in power equipment health analysis

Xin Xuan; Fan Zhou; Renzhe Xia; Ruijie Wang; Jianbao Chen

doi:10.1117/12.3052444

30 December 2024 Research and application of rational intelligent agent technology in power equipment health analysis

Xin Xuan, Fan Zhou, Renzhe Xia, Ruijie Wang, Jianbao Chen

Author Affiliations +

Proceedings Volume 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024); 133941T (2024) https://doi.org/10.1117/12.3052444
Event: International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 2024, Hohhot, China

Abstract

The operational status of power grid equipment directly affects the safety of the grid operation, making intelligent equipment health analysis methods particularly important. In order to address the shortcomings of low efficiency in manual reporting of status indicators, single feature quantities in status evaluation, and retrospective bias in health assessment encountered in power equipment health analysis, this paper proposes a method centered on equipment and components, guided by "equipment health codes," to study the establishment of a graph relationship between key equipment status characteristics and equipment failures. Through the combination of expert experience and rational intelligent agent technology, automated and intelligent health analysis is achieved, improving the analysis efficiency of operation and maintenance personnel and evaluators, and enhancing the level of equipment reliability.

Citation Download Citation

Xin Xuan, Fan Zhou, Renzhe Xia, Ruijie Wang, and Jianbao Chen "Research and application of rational intelligent agent technology in power equipment health analysis", Proc. SPIE 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 133941T (30 December 2024); https://doi.org/10.1117/12.3052444

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