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Mechanical equipment residual life prediction method based on real-time data monitoring

A technology for mechanical equipment and life prediction, applied in complex mathematical operations, etc., can solve problems such as difficult to achieve real-time prediction, and achieve the effects of efficient prediction methods, reduced maintenance costs, and increased running time

Active Publication Date: 2020-10-09
YANSHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Most of the existing remaining life prediction methods are predicted through accelerated tests or data-driven methods, and it is difficult to achieve the function of real-time prediction

Method used

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  • Mechanical equipment residual life prediction method based on real-time data monitoring
  • Mechanical equipment residual life prediction method based on real-time data monitoring
  • Mechanical equipment residual life prediction method based on real-time data monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0099] The plunger pump is an important device of the hydraulic system and belongs to a kind of hydraulic pump. It relies on the reciprocating movement of the plunger in the cylinder to change the volume of the sealed working chamber to realize oil suction and pressure. In order to predict and judge the remaining life of the plunger pump in normal operation, the specific implementation steps are as follows:

[0100]S1. According to the performance parameters of the plunger pump, determine the failure criterion of the plunger pump with volumetric efficiency η, and define its failure by reducing the volumetric efficiency by 4%. The volume of mixed gas actually inhaled by the cylinder is divided by the cylinder volume. The ratio of the actual flow rate of the pump or motor to the theoretical flow rate of the pump or motor, the calculation expression of the volumetric efficiency of the axial piston pump is as follows:

[0101]

[0102] Among them, η v - volumetric efficiency ...

Embodiment 2

[0122] The plunger pump is an important device of the hydraulic system and belongs to a kind of hydraulic pump. It relies on the reciprocating movement of the plunger in the cylinder to change the volume of the sealed working chamber to realize oil suction and pressure. In order to predict and judge the remaining life of the plunger pump in normal operation, the specific implementation steps are as follows:

[0123] S1. According to the performance parameters of the plunger pump, determine the failure criterion of the plunger pump with volumetric efficiency η, and define its failure by reducing the volumetric efficiency by 4%. The volume of mixed gas actually inhaled by the cylinder is divided by the cylinder volume. The ratio of the actual flow rate of the pump or motor to the theoretical flow rate of the pump or motor, the calculation expression of the volumetric efficiency of the axial piston pump is as follows:

[0124]

[0125] in:

[0126] n v - volumetric efficien...

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Abstract

The invention provides a mechanical equipment residual life prediction method based on real-time data monitoring, and the method comprises the steps: firstly determining a failure criterion of equipment, carrying out the data collection, carrying out the drawing and curve fitting after the collected data is processed, and taking a vertical distance d from a data point to a fitting curve as a random variable; then, adopting different probability distribution models to carry out probability distribution fitting on the extracted random variables, converting the vertical distance d into a failurecriterion of the mechanical equipment, and obtaining a probability distribution model of the failure criterion; secondly, selecting an optimal probability distribution model according to K-S inspection; and finally, anticlockwise rotating the optimal probability distribution curve of the failure criterion by 90 degrees, drawing the optimal probability distribution curve, the fitting curve and thefailure reference line in the same coordinate system, and determining the residual service life and the reliability probability of the mechanical equipment according to the position relationship of each curve. According to the method, the probability distribution model is established by taking the vertical distance as a random variable, so that the residual life prediction precision is effectivelyimproved.

Description

technical field [0001] The invention relates to the field of remaining life prediction of equipment, in particular to a method for predicting the remaining life of mechanical equipment based on real-time data monitoring. Background technique [0002] With the advancement of the times and technology, mechanical equipment has been widely used in aviation, aerospace, ships and other fields related to national security and people's lives. In order to ensure the safety and reliability of equipment, the demand for equipment remaining life prediction technology is increasing. high. Once the equipment fails, it may lead to the collapse of the entire working system and even cause danger, and for some equipment, the traditional downtime maintenance method is not only time-consuming, labor-intensive, but also affects efficiency. Therefore, it is necessary to repair or replace the equipment before it fails, that is, before it reaches the end of its life. This strategy of turning unplan...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18
CPCG06F17/18
Inventor 吴凤和张伟吴月明唐军郭保苏孙迎兵
Owner YANSHAN UNIV
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