A multi-variable detection method for online monitoring of moisture in oil

Abstract

A multi-variable detection method for online monitoring of water in oil mainly consists of an oil dynamic characteristic sensor signal acquisition and preprocessing module, an oil dynamic characteristic parameter extraction module, and a fuzzy model conversion module between oil dynamic characteristic parameters and multivariable physical and chemical performance parameters , Multi-variable physical and chemical performance parameters and oil moisture content fuzzy mathematical relationship conversion module; It is characterized in that after collecting and preprocessing the oil dynamic characteristic sensor signal, extracting the characteristics of the dynamic characteristic parameters of the oil; using the oil dynamic Characteristic parameters and multi-variable physical and chemical performance parameters fuzzy model conversion module transforms into multi-variable physical and chemical performance parameters of oil; and then monitors the moisture content value in oil according to the conversion module of multi-variable physical and chemical performance parameters and the fuzzy mathematical relationship conversion module of water content in oil , thus overcoming the inaccurate and highly targeted problems of traditional on-line monitoring of water in oil, and effectively realizing real-time and on-line monitoring of water content in oil.

Description

technical field [0001] The invention relates to the field of oil on-line monitoring, and belongs to an on-line monitoring method for moisture in mineral oil, in particular to an on-line monitoring method for multi-variable detection of water in oil, which analyzes the relationship between multi-variable physical and chemical performance parameters and moisture content of oil , to realize the online monitoring system of real-time and continuous detection of moisture content in lubricating oil. Background technique [0002] Lubricating oil is widely used in various industries such as automobiles, ships, mechanical processing, transportation, electric power, etc. During the production, storage, transportation and practical application of lubricating oil, water will be mixed into lubricating oil through various channels. Among them, the existence state of water mainly includes three states of free water, suspended water and dissolved water, and its content in lubricating oil dec...

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Problems solved by technology

[0007] A multi-variable detection method for online monitoring of moisture in oil mainly consists of an oil dynamic characteristic sensor signal acquisition and preprocessing module, an oil dynamic characteristic parameter extraction module, and a fuzzy model conversion module between oil dynamic characteristic parameters and multivariable physical and chemical performance parameters , Multi-variable physical and chemical performance parameters and the fuzzy mathematical relationship conversion module of water content in oil; it is characterized in that the on-line monitoring of water in oil is realized through the real-time and online monitoring of dynamic characteristic parameters of water-containing oil during the operation of the system (such as pressure, flow, etc.), use the oil dynamic characteristic sensor signal acquisition and preprocessing module to collect and preprocess the oil dynamic characteristic sensor signal, and use it as the input signal of the oil dynamic characteristic parameter extraction module to output the oil The characteristics of the dynamic characteristic parameters of the oil; then use the oil dynamic characteristic parameters and the multivariable physical and chemical performance parameters fuzzy model conversion module to transform the dynamic characteristic parameters of the oil into the multivariable physical and chemical performance parameters of the oil; finally according to the multivariable physical and chemical performance parameters and the The transformation of the fuzzy mathematical relationship conversion module of water content in oil converts the multi-variable physical and chemical performance index parameters into the water content value in oil, thus overcoming the traditional use of a single physical and chemical performance index parameter of water-containing oil to realize online monitoring of water in oil There are problems of inaccurate detection and strong pertinence, and it also overcomes the problem that the multi-variable physical and chemical performance indicators of the oil cannot be monitored simultaneously during the online monitoring of moisture in oil, so as to effectively realize the real-time and real-time monitoring of the moisture content in the oil. Online Monitoring

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