摘要
分析了电气故障预警系统的现状和挑战,探讨了基于人工智能的电气故障识别、预测和优化技术,并通过实际案例和数据验证了这些技术的有效性和可行性。
This paper analyzes the current situation and challenges of electrical fault early warning system,discusses the artificial intelligence-based electrical fault identification,prediction and optimization technologies,and verifies the effectiveness and feasibility of these technologies through practical cases and data.
作者
周建新
ZHOU Jianxin(Tangshan Sanyou Chlor-Alkali Co.,Ltd.,Hebei Polyvinyl Chloride Technology Innovation Center,Tangshan,China)
出处
《中国氯碱》
CAS
2024年第4期33-36,共4页
China Chlor-Alkali
关键词
人工智能
电气故障
预警系统
优化
探讨
artificial intelligence
electrical faults
early warning systems
optimize
investigate