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Plunger pump fault signal time-frequency diagram noise reduction enhancement method and system

A fault signal and enhancement system technology, applied in image enhancement, neural learning methods, image data processing, etc., can solve problems such as dependence on diagnostic accuracy, inability to guarantee fault characteristics, and dependence on experience

Pending Publication Date: 2021-09-17
CHINA RAILWAY ENGINEERING EQUIPMENT GROUP CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are the following disadvantages: 1) The accuracy of diagnosis depends heavily on feature extraction, and feature extraction requires manual design, which is time-consuming and dependent on experience; 2) Manually extracted features cannot fully represent the characteristics of faults; 3) Currently, Many diagnostic methods perform poorly when the acquired signal is noisy
However, traditional fault analysis methods can also provide certain references, especially in time-frequency analysis, there are many mature methods and technologies

Method used

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  • Plunger pump fault signal time-frequency diagram noise reduction enhancement method and system
  • Plunger pump fault signal time-frequency diagram noise reduction enhancement method and system
  • Plunger pump fault signal time-frequency diagram noise reduction enhancement method and system

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Embodiment 1

[0054] The problem to be solved by the present invention is to provide a fault diagnosis method for a high-speed aviation plunger pump, which can realize signal noise reduction enhancement, thereby realizing signal feature extraction and fault diagnosis, and improving the diagnosis accuracy of noise-containing signals.

[0055] In order to achieve the above goals, the present invention provides a Grad-CAM-based method for enhancing the noise reduction of the time-frequency diagram of the fault signal of the plunger pump, which is characterized by comprising the following steps:

[0056] S1: Collect the vibration signal of the casing when the plunger pump fails

[0057] At the sampling frequency fs, the vibration signal of the plunger pump under different inlet pressures is collected

[0058] S2: Data sample segmentation

[0059] The method adopted in the present invention needs to perform time-frequency transformation on the original signal to obtain a time-frequency diagram ...

Embodiment 2

[0086] Embodiment 2 is a preferred example of Embodiment 1.

[0087] like figure 1 , is the flow chart of the method for enhancing the noise reduction of the time-frequency diagram of the fault signal of the plunger pump based on the Grad-CAM of the present invention, and diagnosing the cavitation fault of a high-speed aviation plunger pump, including the following steps:

[0088] S1: Install a vibration sensor on the casing of the plunger pump, connect the acquisition equipment, and collect the vibration signal when the pump has different degrees of cavitation under different inlet pressures, and the sampling frequency is 10240Hz.

[0089] S2: Divide the original vibration signal into N segments, and each segment is used as a sample. Cavitation grades were assigned to each sample segment in terms of flow loss. This implementation case is divided into four grades, namely severe cavitation, moderate cavitation, slight cavitation and no cavitation. In the implementation case, ...

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Abstract

The invention provides a plunger pump fault signal time-frequency diagram noise reduction enhancement method and system. The method comprises the steps: firstly collecting a fault vibration signal of a plunger pump, then converting original data into a time-frequency diagram, carrying out the noise reduction enhancement processing of the time-frequency diagram through employing the method, and finally extracting the features in the time-frequency diagram through employing a trained CNN model, and carrying out the noise reduction enhancement of the time-frequency diagram. And fault diagnosis is carried out, key regions in the time-frequency graph are searched by using the gradient size of a specific network layer feature graph of the convolutional neural network, and non-key regions are eliminated, so that the time-frequency graph of the original signal is enhanced. According to the method adopted by the invention, the vibration data features are converted into the features of the time-frequency diagram, and the time sequence signals are converted into the image classification signals, so that high-accuracy fault diagnosis is realized; meanwhile, the time-frequency diagram noise reduction enhancement method provided by the invention improves the anti-noise performance and robustness of model diagnosis.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of plunger pumps, in particular, to a method and system for enhancing noise reduction in a time-frequency diagram of a fault signal of a plunger pump. Background technique [0002] The aviation hydraulic pump is the key component of the aircraft hydraulic system. At the same time, because of its compact structure, small moment of inertia, large flow, and easy control, the aircraft hydraulic system is widely used. In order to further improve the power density of the plunger pump, increasing the rotational speed is an effective method. Common fault types of high-speed plunger pumps include cavitation, wear, etc. These faults can easily lead to shell damage, abnormal vibration and other adverse consequences and even lead to safety accidents. Therefore, it is of great significance to diagnose the fault of the aviation plunger pump. [0003] The traditional fault diagnosis is mainly to compar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/047G06N3/045G06F18/2415G06F18/214G06T5/70
Inventor 陶建峰贾连辉周小磊魏晓良徐孜高浩寒
Owner CHINA RAILWAY ENGINEERING EQUIPMENT GROUP CO LTD