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A method for predicting the remaining life of mechanical equipment 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, saving manpower, and accurate probability results

Active Publication Date: 2022-04-01
湖北达能食品饮料有限公司
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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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  • A method for predicting the remaining life of mechanical equipment based on real-time data monitoring
  • A method for predicting the remaining life of mechanical equipment based on real-time data monitoring
  • A method for predicting the remaining life of mechanical equipment based on real-time data monitoring

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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 method for predicting the remaining life of mechanical equipment based on real-time data monitoring. First, determine the failure criterion of the equipment, and collect data, draw and curve fit the collected data, and use data points to simulate The vertical distance d of the fitting curve is used as a random variable; then, different probability distribution models are used to fit the probability distribution of the extracted random variables, and the vertical distance d is converted into the failure criterion of mechanical equipment to obtain the probability of failure criterion distribution model; then, select the best probability distribution model according to the K-S test; finally, rotate the best probability distribution curve of the failure criterion 90 degrees counterclockwise, draw it in the same coordinate system as the fitting curve and the failure reference line, According to the position relationship of each curve, the remaining service life and reliability probability of the mechanical equipment are determined. The invention uses the vertical distance as a random variable to establish a probability distribution model, which effectively improves the accuracy of remaining life prediction.

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 Patents(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 湖北达能食品饮料有限公司
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