High-pressure diaphragm pump check valve fault diagnosis method based on vibration signal analysis

A technology of vibration signal and high-pressure diaphragm, which is applied in the field of fault diagnosis of one-way valve of high-pressure diaphragm pump, can solve the problems of reducing the correct rate of fault identification and inappropriate parameter selection, and achieves the guarantee of fault diagnosis rate, simple calculation and high reliability Effect

Inactive Publication Date: 2019-07-23
KUNMING UNIV OF SCI & TECH
View PDF2 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the selection of support vector machine parameters will have a great impact on the final result. The model trained by the same training sample will cause significant differences due to different parameter selections. Inappropriate parameter selection will reduce the accuracy of fault identification. Correct rate

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • High-pressure diaphragm pump check valve fault diagnosis method based on vibration signal analysis
  • High-pressure diaphragm pump check valve fault diagnosis method based on vibration signal analysis
  • High-pressure diaphragm pump check valve fault diagnosis method based on vibration signal analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] Embodiment 1: as figure 1 As shown, a high-pressure diaphragm pump check valve fault diagnosis method based on vibration signal analysis, the specific steps of the method are as follows:

[0042] Step1. Use the acceleration sensor to measure the vibration signal of the check valve of the high-pressure diaphragm pump, collect the vibration signals of the check valve of the high-pressure diaphragm pump in normal state, stuck valve fault, and wear fault state, and obtain the vibration signal in each state;

[0043] Step2. Use the variational mode decomposition (VMD) algorithm to decompose the vibration signal data under the three states of the high-pressure diaphragm pump check valve, and determine the number of decomposed modes through the center frequency to obtain K physical meanings. Inigenmodulus function (IMF) components;

[0044] Step3. Calculate the multi-scale permutation entropy of the IMF component, and construct a high-dimensional fault feature matrix;

[004...

Embodiment 2

[0047] Embodiment 2: In this embodiment, the data of the check valve of No. 3 high-pressure diaphragm pumping station of Yunnan Dahongshan Pipeline are used for experimental analysis. Specific steps are as follows:

[0048]Step 1: Collect three different types of vibration signals of the check valve (normal, stuck valve, wear fault) at a fixed sampling frequency, the sampling frequency is f=2560, the length of the data is 3072, and 25 sets of data are collected for each state used as the total sample.

[0049] Step 2: Randomly select a group of data signals, use the VMD algorithm to decompose the vibration signal, determine the number K of the decomposed modes through the center frequency, and obtain K IMF components with physical meaning. For the number of decomposition modes K, when the number of mode decompositions is small, since the VMD algorithm is equivalent to an adaptive Wiener filter bank, some important information in the original signal will be filtered out and lo...

Embodiment 3

[0059] Embodiment 3: In order to verify the superiority of VMD decomposition for noise-containing signals, this example compares the VMD decomposition method with the local feature scale (LCD) decomposition method. During the experiment, the methods of selecting the first four decomposed components, feature extraction and fault classification are consistent with the present invention. The fault identification results of VMD and LCD decomposition methods are shown in the figure Figure 5 and Figure 6 As shown, the comparison is shown in Table 2.

[0060] It can be seen from Table 2 that when the LCD decomposition method is used, the samples in the normal state are all correctly identified, but the recognition accuracy of the stuck valve fault and wear fault containing noise is very low, and 8 stuck valve faults are misclassified as wear Faults, 3 wear faults are misclassified as normal, and the comprehensive recognition accuracy rate is only 63.33%, which is lower than 96.67...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a high-pressure diaphragm pump check valve fault diagnosis method based on vibration signal analysis, and belongs to the field of mechanical fault diagnosis and signal processing. The high-pressure diaphragm pump check valve fault diagnosis method based on the vibration signal analysis comprises the following steps that firstly, VMD decomposition is carried out on a vibration signal of a check valve of a high-pressure diaphragm pump, and the number K of decomposition modes is determined through a center frequency to obtain K IMF components with physical significance; the MPE of the IMF components is then calculated to form a multi-scale complexity measure feature vector; and finally, a high-dimensional feature matrix is input into a classifier established by a support vector machine optimized based on a genetic algorithm to identify a working state of the check valve of the high-pressure diaphragm pump. According to the high-pressure diaphragm pump check valvefault diagnosis method based on the vibration signal analysis, the vibration signal of the check valve is denoised and decomposed into the IMF components without mode-mixing through a VMD algorithm, the multi-scale arrangement entropy of each IMF component is calculated to collect fault characteristic information distributed on multiple scales, the correct rate of fault identification of the checkvalve is improved, and higher practicability and engineering significance are achieved.

Description

technical field [0001] The invention relates to a fault diagnosis method for a one-way valve of a high-pressure diaphragm pump based on vibration signal analysis, and belongs to the field of mechanical fault diagnosis and signal processing. [0002] technical background [0003] The reciprocating high-pressure diaphragm pump is the core power equipment for slurry pipeline transportation. It is widely used in the transportation of solid-liquid two-phase and single-phase media under complex working conditions such as high pressure, high temperature, high corrosion, and high concentration. In the slurry pipeline transportation system, most of the high-pressure diaphragm pumps rely on imports, the cost is high, and they operate in an external environment with large differences in altitude and complex terrain structures. The harsh operating environment and non-standard operation of personnel will cause the high-pressure diaphragm pump to fail. . Once the diaphragm pump fails, it ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/003G01M7/02
CPCG01M7/025G01M13/003
Inventor 黄国勇潘震吴建德王晓东叶波范玉刚邹金慧冯早
Owner KUNMING UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap