Research on Fault and Health Management of Industrial Lighting Electrical System Using Digital Twin Technology
SUO Yiqun
Abstract：Aiming at the operation and maintenance problems of industrial lighting system in complex light environment of high-end manufacturing workshop,this paper proposes a fault prediction and health management method based on digital twin technology.By constructing a digital twin model containing electrical parameters and light environment characteristics,the real-time perception and health assessment of luminaire status are realized,and a health score-driven active maintenance strategy is developed.The case application shows that the fault prediction accuracy of this method is significantly higher than that of the traditional method,the residual life prediction error is less than 5%,the downtime is reduced by about 50%,the lamp life is prolonged by about 15%,and the system stability is significantly improved.
Keywords：digital twinindustrial lightingfault predictionhealth management
Publication Date：2026-02-25
Online Publishing Date：2026-03-12(First online date of this platform, not the publication date of the document)
Pages：4( 131-134 )