Fault diagnosis and prediction of mining electromechanical equipment based on big data analysis
The fault diagnosis and prediction of mining electromechanical equipment are of great significance for the safety and production efficiency of mines.Traditional fault diagnosis methods often rely on experience and manual analysis,which have problems such as low accuracy and poor real-time performance.With the rapid development of big data technology,big data analysis has shown great potential in the diagnosis and prediction of faults in mining electromechanical equipment.This article aims to deeply explore the advantages and key technologies of big data analysis in this field,and demonstrate its practical application effect through a specific application case.
big data analysisMining electromechanical equipmentFault diagnosis and prediction
国家科技期刊平台
NSTL
万方数据
