A self-adaptive state early warning system and method for oil pump working conditions

Abstract

This application provides an adaptive state early warning system and method for oil pump working conditions. The method includes: online collection of characteristic parameters that reflect the operating conditions and deterioration status of the oil pump. The characteristic parameters include working condition characteristic parameters and degradation state characterization parameters; Perform correlation analysis on the parameters representing each degradation state to obtain the correlation coefficients between the parameters representing each degradation state; divide the operating conditions of the oil pump into multiple operating condition subspaces according to the correlation coefficient and the characteristic parameters of the operating conditions. From the historical operating data of the oil pump Determine the degradation state representation signal of each working condition subspace, and perform feature extraction and fusion on it to obtain the degradation evaluation index under each working condition subspace; predict the performance of the oil pump in each working condition subspace in real time based on the degradation evaluation index under each working condition subspace. The degradation status value in the working condition subspace is compared with the corresponding alarm threshold. If the degradation status value exceeds the alarm threshold, the corresponding alarm information is output. This application can accurately predict the deterioration status of the oil transfer pump under changing operating conditions.

Description

technical field [0001] The present application relates to the technical field of intelligent diagnosis of key equipment for pipeline oil transportation, and in particular to an adaptive state early warning system and method for working conditions of oil transportation pumps. Background technique [0002] With the development of the national economy, pipeline transportation has occupied an increasingly important position in modern industry. As the key equipment for pipeline oil transportation, the oil pump is an important factor to ensure the normal operation of pipeline transportation. However, the delivery medium of the oil pump is variable and the operating conditions are complex, which not only aggravates its state degradation, but also increases the uncertainty of state prediction. Once the oil pump components fail, it may cause the paralysis of the entire pipeline transportation system, bring huge economic losses to the enterprise, and even cause catastrophic environme...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the embodiments of the present application is to provide a self-adaptive state early warning system and method for oil delivery pumps, so as to overcome the defect that it is difficult to accurately predict the deterioration state of oil delivery pumps in the prior art under complex and changeable operating conditions.

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