Fault Diagnosis and Maintenance Strategy of Electrical Automation Equipment

Firstly, this paper summarizes the importance of electrical automation equipment in modern industrial production, and points out the fault diagnosis and maintenance challenges brought by the complexity of equipment with the development of technology. Then, the paper introduces the fault detection technology in detail, including the application of sensor technology and the fault detection method based on data analysis, with special emphasis on the key role of big data and artificial intelligence technology in fault detection. This paper further discusses the fault diagnosis strategy, including condition monitoring, data analysis, self-diagnosis function and the application of fault diagnosis tools, and discusses the application of fuzzy neural network (FNN) in fault diagnosis. In the part of maintenance strategy, the article discusses preventive maintenance, responsive maintenance and improved maintenance strategies, and emphasizes the importance of these strategies in reducing equipment failures, prolonging equipment life and reducing maintenance costs. Finally, through a case of fault diagnosis and maintenance of centrifugal pump in a chemical plant, the effect of modern technical means in practical application is demonstrated. The research shows that the comprehensive use of modern technical means can significantly improve the accuracy and efficiency of fault diagnosis, and build a scientific and reasonable maintenance system to realize the effective management of the whole life cycle of electrical automation equipment.