Probability time-varying seawater hydraulic pump fault prediction method

Abstract

The invention discloses a probability time-varying seawater hydraulic pump fault prediction method, which belongs to the field of deep sea seawater plunger pump fault prediction research. The probability time-varying seawater hydraulic pump fault prediction method comprises the steps of: selecting working volume efficiency of a deep sea seawater plunger pump as a fault prediction characteristic quantity, and acquiring seawater numerical values sent out by the plunger pump to form a plunger pump fault prediction original data sequence; carrying out Laplace wavelet extraction and then Hilbert envelope demodulation for processing the original data sequence, so as to obtain a new data sequence; conducting reconstruction and recombination based on multi-scale support vector machine data processing, so as to obtain accurate initial data; introducing the processed data into a service life prediction method based on time-varying state transition, and training the data to obtain whole life historical data and health state models of a system; subjecting current monitoring data to multi-scale support vector machine data processing, comparing the processed data with the health state models, recognizing the current health state of the system and calculating a state transition coefficient; and finally calculating remaining duration and remaining life of the system in the current state.

Description

technical field [0001] The invention belongs to the research field of fault prediction of deep-sea seawater plunger pumps, and in particular relates to Laplace wavelet filter extraction, multi-scale support vector machines, and a life prediction method based on time-varying state transfer. Background technique [0002] With the development of modern marine resources, the requirements for the attendance rate and equipment integrity rate of deep-sea equipment have been improved, coupled with the rapid development of testing technology, signal analysis technology and computer technology, currently foreign advanced deep-sea equipment has adopted a complete failure prediction and health management system. Realize condition monitoring, fault diagnosis and life prediction, thereby effectively reducing the accident rate of deep-sea equipment and saving maintenance costs. Among them, the fault prediction technology is a hot and difficult problem in the fault prediction and health man...

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Problems solved by technology

[0006] At present, some scholars have applied the gray prediction theory to the life prediction of the plunger pump, and achieved good results, but there are still defects: the outlet flow of the plunger pump is selected as the characteristic quantity of life prediction, and the change of the outlet flow is not only related to the plunger pump. It is related to the internal wear of the pump and is also closely related to the working state of the plunger pump. It cannot characterize the life of the plunger pump very accurately; the original prediction data has not been preprocessed to improve the smoothness of the data, and a large number of studies have proved that the gray prediction model The accuracy of the model depends largely on the smoothness of the original data sequence; the residual modified GM(1,1) model is adopted, which cannot take into account the new state information continuously generated during the performance decline of the plunger pump , so only short-term predictions can be made, and for deep-sea seawater plunger pumps with a life span of thousands of hours, medium and long-term life predictions are more critical

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