化工机泵群故障及监测诊断方法研究

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中图分类号：TP399；TQ050.7 文献标志码：A 文章编号：1001-5922（2026）1-0185-04

Abstract：To further sort out the current mainstream methods for fault diagnosis and monitoring of chemical pump groups，an analysis method based on Citespace is proposed. the current topic analysis and fault diagnosis methods are analyzed byusing CiteSpace version 5.8.rl.the results show that through this analysis method，the current mainstreamfault topics of chemical pump groups include fault diagnosis，hydraulic pumps，plunger pumps，centrifugal pumps，etc.，and the main fault diagnosis methods include expert systems，artificial neural networks，support vector machies，fuzzydiagnosis methods，and rough setdiagnosis methods.thus，through this visual analysis method，the current mainstream directions and technologies in the field of chemical pump group fault diagnosis can be identified，thereby providing more reference for the current fault diagnosis of chemical pump groups.

Key words ： petrochemicals ; pump groups;fault detection ; Citespace

在石油化工领域，包含大量的机泵群组。（剩余4637字）