Infrared image identification method of substation equipment fault under weak supervision
This study presents a weakly supervised method for identifying faults in infrared images of substation equipment. It utilizes the Faster RCNN model for equipment identification, enhancing detection accuracy through modifications to the model's network structure and parameters. The method is exemplified through the analysis of infrared images captured by inspection robots at substations. Performance is validated against manually marked results, demonstrating that the proposed algorithm significantly enhances the accuracy of fault identification across various equipment types.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults
The reliability of substation equipment is crucial to the stability of power systems, but traditional fault analysis methods heavily rely on manual expertise, limiting their effectiveness in handling complex and large-sc…
Data AugmentationFault DiagnosisImage to Video GenerationLanguage Modeling+4Detection of High-Impedance Low-Current Arc Faults at Electrical Substations
Arcing faults in low voltage (LV) distribution systems associated with arc-flash risk and potentially significant equipment damage are notoriously difficult to detect under some conditions. Especially so when attempting …
ARCFault DetectionMachine Learning based Post Event Analysis for Cybersecurity of Cyber-Physical System
As Information and Communication Technology (ICT) equipment continues to be integrated into power systems, issues related to cybersecurity are increasingly emerging. Particularly noteworthy is the transition to digital s…
Monitoring electrical systems data-network equipment by means of Fuzzy and Paraconsistent Annotated Logic
The constant increase in the amount and complexity of information obtained from IT data networkelements, for its correct monitoring and management, is a reality. The same happens to data net-works in electrical systems t…
ManagementAlgorithms for Object Detection in Substations
Inspection of high-voltage power equipment is an effective way to ensure power supply reliability. Object recognition, one of the key technologies in automatic power equipment inspection, attracts attention of many resea…
DecoderObjectobject-detectionObject Detection+1