Research on Fault Diagnosis and Predictive Maintenance Technology of Electrical Automation Equipment for Intelligent Manufacturing
Cheng Zhihan

Wenzhou University, Wenzhou Zhejiang,325035;

Abstract:In intelligent manufacturing, the reliability of electrical automation equipment is crucial for ensuring the stability and efficiency of production processes. This paper reviews recent advancements in fault diagnosis and predictive maintenance (PDM) technologies for electrical automation systems. The paper discusses various fault diagnosis techniques, including model-based, signal-based, and data-driven approaches, and presents a framework for implementing predictive maintenance in a smart manufacturing environment. A case study of fault detection and predictive maintenance for a set of industrial equipment is presented, showing that the proposed framework improves fault detection accuracy and reduces downtime. The results indicate that predictive maintenance based on machine learning can significantly enhance the operational efficiency and lifespan of electrical automation equipment.

Keywords: Fault Diagnosis;Predictive Maintenance;Electrical Automation;Intelligent Manufacturing;Machine Learning

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