Method for processing vibration signal of bearing equipment through nonlinear redundancy lifting wavelet packet
A vibration signal, wavelet packet technology, applied in mechanical bearing testing, measurement of ultrasonic/sonic/infrasonic waves, measurement devices, etc., can solve problems such as weak vibration signals, improve the success rate, improve the signal-to-noise ratio, and facilitate extraction. Effect
Inactive Publication Date: 2014-08-20
武汉昊海立德科技有限公司
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However, the early vibration signals of equipment failures are often very weak and overwhelmed by strong background noise, and at the same time present nonlinear characteristics
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[0035] The present invention will be described in detail below in conjunction with the accompanying drawings.
[0036] like figure 1 , 2 , Shown in 3, the present invention handles the method for vibration signal of bearing equipment by non-linear redundant lifting wavelet packet, and it comprises the following steps:
[0037] Step (1), using six groups of prediction operators and update operators to analyze the original vibration signal of the bearing equipment (such as Figure 4 Shown) the steps of decomposing the wavelet packet layer by layer;
[0038] The six groups of predictors and update operators are obtained in the following ways:
[0039] Choose N=4, 12, 20 and
[0040] N. represent the lengths of the prediction operator and the update operator respectively, and their combination is expressed as (N and ), with this combination, a total of six combinations (4, 4), (12, 4), (12, 12), (20, 4), (20, 12) and (20, 20) are obtained;
[0041] Bring the above six c...
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The invention relates to a method for processing a vibration signal of bearing equipment through a nonlinear redundancy lifting wavelet packet. The method comprises the following steps of: (1), carrying out wavelet packet layer-by-layer decomposition on an original vibration signal of the bearing equipment by adopting six sets of prediction operators and update operators; (2), getting normalized energy from various nodes in the last layer obtained in the step (1), and selecting a node with maximum energy; and (3), carrying out single wavelet packet reverse reconstruction on the node selected in the step (2) to obtain a reconstructed vibration signal of the bearing equipment. By means of the signal obtained by using the processing method disclosed by the invention, weak fault information in the node can be highlighted more effectively; the difficulty for identifying a fault characteristic frequency is reduced; and the diagnosis success rate of early failures is beneficial to being increased.
Description
technical field [0001] The invention relates to the technical field of fault diagnosis of bearings, in particular to a method for processing vibration signals of bearing equipment. Background technique [0002] The rapid development of modern science and technology has accelerated the development trend of large-scale, precision, high-speed and automation of mechanical equipment. However, the equipment runs for a long time and the production environment is very harsh, which will inevitably cause the wear and tear of components and eventually fail. In order to avoid huge economic losses and adverse social impacts caused by equipment failures, it is of great practical significance to use effective methods to monitor equipment status. [0003] As the most widely used and most prone to failure component, bearing is the top priority of condition monitoring, and the analysis of its vibration signal in time domain and frequency domain is the most common and basic method. However, ...
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IPC IPC(8): G01M13/04G01H17/00
Inventor 叶辉阳子婧高立新汪建民蒋卓惟钱国义朱立中
Owner 武汉昊海立德科技有限公司