Rotating equipment is widely used in large industrial and mining enterprises, so its safe and stable operation is of great significance. With rapid development of artificial intelligence algorithms in recent years, many researchers apply them to the fault diagnosis of rotating machinery and equipment. This paper takes a company’s rotating equipment as an object, discusses artificial intelligence algorithms suitable for remote fault diagnosis. Then, taking circulating water pump as an example, it summarizes the characteristic vectors, monitoring methods and fault types of circulating water pump. Based on operating status and characteristic parameters of the equipment management system accessed to circulating water pump, it designs four types of typical artificial intelligence algorithm models, and assesses its accuracy and effects through simulation software. In this way, it supports rapid diagnosis and analysis of the existing faults, points out the cause of the fault in time, effectively reduces the number of unit shutdowns for maintenance, extends the cycle of unit operation, and provides reliable guarantees for the safe operation of energy equipment.

Wen Zhu, Qiang Xiao, Lei Qi. Research on Fault Diagnosis of Rotating Equipment Based on Artificial Intelligence. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 2: 1-10. https://doi.org/10.25236/AJCIS.2022.050201.

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