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Centrifugal pump fault diagnosis method and system

A fault diagnosis, centrifugal pump technology, applied in pump control, non-variable-capacity pumps, machines/engines, etc., can solve the problems of unrepresentative, large and complex sample extraction, and achieve the effect of improving accuracy.

Inactive Publication Date: 2020-04-21
WUHAN INSTITUTE OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the prior art, the fault detection of centrifugal pumps has a large number of vibration signals, and the workload of sample extraction is heavy, complicated and unrepresentative. When identifying multiple fault states, it is difficult to distinguish the fault category and location

Method used

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  • Centrifugal pump fault diagnosis method and system
  • Centrifugal pump fault diagnosis method and system
  • Centrifugal pump fault diagnosis method and system

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Experimental program
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Effect test

Embodiment 1

[0084] refer to figure 1 , a centrifugal pump fault diagnosis method, comprising the following steps:

[0085] S1: Obtain the vibration signal of the centrifugal pump;

[0086] S2: Preprocessing the vibration signal to obtain a denoising signal;

[0087] S3: extracting time-domain characteristic parameters and energy characteristic parameters of the denoising signal;

[0088] S4: Establish a centrifugal pump diagnostic simulation experiment system, obtain time-domain characteristic parameters and energy characteristic parameters in different modes, and establish a fault detection model;

[0089] S5: Integrate the time-domain characteristic parameters and energy characteristic parameters in S4 and reduce the dimension, and send the time-domain characteristic parameters and energy characteristic parameters of the centrifugal pump to be detected after dimensionality reduction to the fault detection model for detection, and the fault detection model outputs faults category.

...

Embodiment 2

[0161] On the basis of embodiment 1, a centrifugal pump fault diagnosis system includes a centrifugal pump, a sensor, a data acquisition processing unit and a fault detection unit;

[0162] The impeller is installed in the centrifugal pump, the sensor is installed on the shaft of the centrifugal pump, and is electrically connected with the data acquisition and processing unit, and the sensor is used to collect the vibration signals of the centrifugal pump in different modes and transmit them to the data acquisition and processing unit;

[0163] The output end of the data acquisition and processing unit is electrically connected to the fault detection unit, and the data acquisition and processing unit is used to extract the time-domain characteristic parameters and energy characteristic parameters of the vibration signal and transmit the time-domain characteristic parameters and energy characteristic parameters to the fault detection unit after dimensionality reduction ;

[016...

Embodiment 3

[0167] On the basis of embodiments 1 and 2, in S46, the fault detection model can also be established using a BP neural network, and the specific process is as follows:

[0168] S463: Determine the number of nodes in each layer of the BP neural network;

[0169] S464: select a training function;

[0170] S465: Input the time-domain feature parameters and energy feature parameters in the four modes into the training function for training, and use the trained model as a fault detection model.

[0171] refer to Figure 4 , BP neural network includes input layer, output layer and hidden layer.

[0172] Wherein, the number of neuron nodes in the input layer is the same as the number of observations of the input samples. In this embodiment, the number of input nodes is 5, corresponding to 4 fault states of the centrifugal pump, and the number of neuron nodes in the output layer is set to 4.

[0173] The ability of BP neural network to process data increases with the number of hid...

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Abstract

The invention discloses a centrifugal pump fault diagnosis method and system. The method comprises the following steps that S1, a vibration signal of a centrifugal pump is obtained; S2, the vibrationsignal is preprocessed, and a denoising signal is obtained; S3, a time domain feature parameter and an energy feature parameter of the denoising signal are extracted; S4, a centrifugal pump diagnosissimulation experiment system is built, time domain feature parameters and energy feature parameters in different modes are obtained, and a fault detection model is built; S5, the time domain feature parameters and the energy feature parameters in the step S4 are integrated and subjected to dimensionality reduction, the time domain feature parameters and the energy feature parameters, subjected todimensionality reduction, of the to-be-detected centrifugal pump are detected by the fault detection model, the fault detection model outputs fault categories, the classification accuracy rate of thefault detection model can be effectively increased, and the fault categories and positions are distinguished.

Description

technical field [0001] The invention relates to the field of centrifugal pump fault detection, in particular to a centrifugal pump fault diagnosis method and system. Background technique [0002] The centrifugal pump mainly uses mechanical energy or other energy to increase the potential energy, pressure energy and kinetic energy of the fluid, so as to complete the transportation of the fluid. It can make the fluid flow from a low-level area to a high-level area, or from a low-pressure area to a high-pressure area. Indispensable mechanical equipment. It has the advantages of wide applicability, small size, light weight, low cost, simple structure, convenient operation, less failure, long life, and no pulsation in the discharged liquid. Because of its simple structure and durability, the pump is widely used in farmland Irrigation, petrochemical engineering, water conservancy engineering, metallurgy and shipbuilding, etc. [0003] The centrifugal pump mainly includes the pum...

Claims

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Application Information

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IPC IPC(8): F04D15/00
CPCF04D15/0088
Inventor 陈汉新柯耀王琪方璐苗育茁黄浪
Owner WUHAN INSTITUTE OF TECHNOLOGY
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