Health status assessment and remaining life prediction of transmission lines based on multi-factor coupling
LI Zhiwei1, WU Yue2, WANG Wei1, WANG Can3, ZHANG Liang3
1. State Grid Hubei Economic and Technological Research Institute, Wuhan 430200; 2. Hubei Huazhong Electric Power Technology Development Co., Ltd, Wuhan 430200; 3. State Grid Wuhan Power Supply Company, Wuhan 430200
Abstract：Equipment condition monitoring is a core aspect of power system operation and maintenance management. Through dynamic monitoring and systematic analysis of equipment operating conditions, potential risks and hazards can be proactively identified. The remaining life of transmission lines, as a time-scale parameter indicating their sustained safe service capability under current health conditions, is scientifically predicted as a key basis for equipment retirement and renewal, as well as optimization of maintenance cycles. It is of great significance for precise allocation and efficient utilization of operation and maintenance resources. In view of existing research that has not effectively integrated transmission line health assessment, remaining life, operation and maintenance decision- making, resulting in insufficient multi-factor coupling dimensions, this paper constructs a multi-factor coupled transmission line health assessment index system, quantifies the health status of transmission line units and the overall system using fuzzy membership functions, introduces defect coefficients and pollution coefficients to correct aging models, and establishes a remaining life prediction model. Taking a 220 kV transmission line of a power grid enterprise as a case study, health condition assessment and remaining life prediction are carried out, which reflects the inherent correlation between the current health status and remaining life of transmission lines, indicating that the proposed method can provide reliable quantitative support for differentiated operation and maintenance of transmission lines, optimization of transformation sequence, scope and scheme formulation, and enhances the level of refined operation and maintenance of equipment assets for power grid enterprises effectively.
李智威, 武岳, 王巍, 王璨, 张亮. 基于多因素耦合的输电线路健康评估及剩余寿命预测[J]. 电气技术, 2026, 27(9): 41-49.
LI Zhiwei, WU Yue, WANG Wei, WANG Can, ZHANG Liang. Health status assessment and remaining life prediction of transmission lines based on multi-factor coupling. Electrical Engineering, 2026, 27(9): 41-49.
2026, Vol. 27 
