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Hydraulic-pump fault feature signal extraction method

A fault signal and feature extraction technology, applied in pump testing, liquid variable displacement machinery, machine/engine, etc., can solve problems such as endpoint effect, negative frequency, false PF component, etc.

Inactive Publication Date: 2014-08-20
SHANDONG UNIV OF TECH
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Problems solved by technology

In this way, the problem of negative frequency in the Hilbert transform of the IMF decomposed by EMD is solved. There are also problems such as endpoint effects and false PF components in LMD, which are dealt with by autocorrelation mirror method and cross-correlation analysis and screening method respectively.

Method used

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  • Hydraulic-pump fault feature signal extraction method
  • Hydraulic-pump fault feature signal extraction method
  • Hydraulic-pump fault feature signal extraction method

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Embodiment Construction

[0054] attached figure 2 Middle: 1. Horizontal measuring point 2. Vertical measuring point 3. Axial measuring point.

[0055] 1. Signal collection: use the acceleration sensor to collect the signal of the hydraulic pump fault signal. The sensor used in this application is a DH186IEPE piezoelectric acceleration sensor with a sensitivity of 0~10mV / ms -2 , range is 500m / s 2 , frequency range 0.5~5kHz. The acquisition box is DH-5923 dynamic signal test analyzer from Donghua Testing Company. Acceleration sensors are arranged in three directions, namely horizontal direction, vertical direction and axial direction. The axial direction is to detect the centering degree of the hydraulic pump, and the signals in the horizontal and vertical directions reflect the fault characteristics of the hydraulic pump.

[0056] 2. Use the autocorrelation mirror method to process the signal at the endpoint;

[0057] set signal The length is n, and the corresponding time is The left endpoin...

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Abstract

The invention provides a hydraulic-pump fault feature signal extraction method based on local main value decomposition. Endpoint continuation processing is conducted on collected hydraulic-pump fault signals with a related image method, so that signal endpoints are extreme points; smooth estimation is conducted on extreme values and local mean values with the method of fitting an envelope line through a cubic B spline, so that fitting errors are reduced; then, LMD decomposition is conducted on the preprocessed signals to obtain PF components, correlation analysis is conducted on PFs and the original signals, the real PF components are selected, and finally Hilbert transformation is conducted on the real PF components to obtain Hilbert spectrums of the signals, wherein the Hilbert spectrums are signal features of the hydraulic-pump fault signals. The method is suitable for fault diagnosis of a hydraulic pump in the industrial field.

Description

technical field [0001] The present application provides a hydraulic pump fault feature signal extraction method based on local mean decomposition, which is suitable for fault diagnosis of hydraulic pumps in the mechanical field. Background technique [0002] The hydraulic pump is a key component in the hydraulic system. Whether its operation is good or not has an important impact on the entire hydraulic system. Once the hydraulic pump fails, it will produce vibration, noise and other phenomena, which will affect its performance, reduce its efficiency, and even cause serious damage. accident. Therefore, the extraction of fault characteristic signals of hydraulic pumps is of great significance in industrial applications. [0003] At present, the method of signal analysis and processing is mainly used at home and abroad to realize the monitoring and diagnosis of hydraulic pumps. Hydraulic pump is a kind of rotating machinery, which will generate vibration during operation, an...

Claims

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Application Information

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IPC IPC(8): F04B51/00
Inventor 许同乐高朋飞侯蒙蒙王建军
Owner SHANDONG UNIV OF TECH
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