Predictive Analysis of Electrical Equipment Maintenance Based on Artificial Intelligence
This article focuses on fault prediction and maintenance of electrical equipment such as electric motors,transformers,production machine tools,distribution equipment,lighting equipment,etc.for industrial manufacturing in enterprises,a functional expandable distributed electrical equipment monitoring and management system is constructed using Hadoop distributed inheritance software architecture,MapReduce programming model,HDFS(Hadoop Distributed File System)distributed file storage,Hbase relational database,API message transmission interface and other components.The SOM network self-organizing mapping algorithm is used to cluster and analyze the status values of electrical equipment monitored by sensors,thereby ensuring intelligent and efficient management of electrical equipment fault maintenance in industrial control networks.
万方数据
维普
