This standard specifies a framework for Artificial Intelligence (AI) based sample labeling and management for transmission and distribution lines. The framework is applicable to the power industry, especially for organizations that wish to optimize the monitoring, maintenance, and fault diagnosis of transmission and distribution lines using AI. The standard provides a description of process and technical requirements for AI-based sample labeling and management, including sample data collection, classification, processing, and storage. Furthermore, the framework offers guidance on data analysis, helping power companies extract valuable information from large amounts of data for line optimization and risk prevention.
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2024-09-26
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
AISLM - Artificial Intelligence-based Data Sample Labeling and Management
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Yongling Lu
Other Activities From This Working Group
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