Research on Progress in Fault Diagnosis and Predictive Maintenance Technologies for Electrical Automation Equipment
The reliable operation of electrical automation equipment is crucial to industrial production and social life.However,equipment failures can not only lead to production interruptions but also pose serious safety hazards.This article aims to explore the latest advancements in fault diagnosis and predictive maintenance technology for electrical automation equipment.By analyzing the advantages and disadvantages of existing technologies,fault diagnosis and predictive maintenance methods suitable for different application scenarios are proposed.The article focuses on discussing cutting-edge technologies based on artificial intelligence,big data analysis,and the Internet of Things(IoT)and their effectiveness in practical applications.This article summarizes the achievements and limitations of current research and points out directions for future development.
fault diagnosispredictive maintenanceartificial intelligencebig dataInternet of Things(IoT)
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