基于K－means的機泵群SISO傳感器故障監(jiān)測

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中圖分類號：TQ053；TP399 文獻標志碼：A 文章編號：1001-5922（2025）07-0163-05

Abstract：Inorder to improvethe safetyand efficiencyof industrial equipmentoperation，afault monitoring method of single input single output （SISO） sensor of machine pump group based on K - means clustering algorithm was discussed.By analyzing the measurement data of the sensor in the feedback control loop，the K -means algorithm was used to cluster the setpoints，control outputsand processvariables，and the normal data modelunder steady state was established，and thedynamiccentroid updateand fault detection algorithm were designed toidentifyabnormal data points.The experimental data ofthe pump group of an oil production plant of a petrochemical unit were used to verifythat the method could effctivelydetect sensor deviation and accuracy degradation faults，and was sensitive to process changes.The results show thatthe proposed method can detect sensor faults in time and provide reliable technical support for the stable operation of the pump group.

Key words ： pump group； sensor; fault diagnosis； K - means clustering algorithm

通過傳感器進行故障監(jiān)測是確保工程質(zhì)量和操作安全的關(guān)鍵手段。（剩余8165字）