Rolling bearing overlapped ultrasonic echo energy extraction method based on Gaussian model

Abstract

A rolling bearing overlapped ultrasonic echo energy extraction method based on a Gaussian model comprises the following steps: firstly, acquiring continuous pulse ultrasonic echo signals, and extracting monopulse ultrasonic echos; establishing a double ultrasonic echo Gaussian model according to the monopulse ultrasonic echos, and calculating a parameterized ultrasonic echo energy expression; constructing a fitness function of a particle swarm algorithm according to a least square method to obtain a finally estimated parameter vector; estimating an initial value of the particle swarm algorithm through a time domain waveform and wavelet transform according to a monopulse ultrasonic echo waveform and a double ultrasonic echo Gaussian model; inputting the initial value into the particle swarm algorithm, and controlling the particle swarm algorithm to continuously iterate until convergence according to the fitness function; substituting the finally estimated amplitude and bandwidth into the parameterized ultrasonic echo energy formula to obtain energy of two echoes; and repeatedly extracting the energy of each pulse ultrasonic echo, and calculating an ultrasonic echo energy coefficient to obtain a UEER curve; The method does not depend on echo interface separation, and can adaptively extract echo energy.

Description

technical field [0001] The invention belongs to the technical field of ultrasonic detection of rolling bearings, and in particular relates to a method for extracting overlapping ultrasonic echo energy of rolling bearings based on a Gaussian model. Background technique [0002] Rolling bearings are the key core components in rotary machinery, and their quality and performance are directly related to the life and reliability of mechanical equipment. According to statistics, failure accidents caused by rolling bearings account for about 30% of the overall mechanical failure accidents. As an important structural part of large-scale construction machinery, low-speed and heavy-duty bearings are more prone to serious failures such as local pitting, spalling, and roller rupture due to their harsh operating conditions, heavy loads, and high impact loads. lead to major engineering accidents. Therefore, there is an urgent need to study early fault monitoring and diagnosis methods for...

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Problems solved by technology

[0005] In order to overcome the above-mentioned shortcomings of the prior art, the object of the present invention is to provide a Gaussian model-based method for extracting the energy of overlapping ultrasonic echoes of rolling bearings, which does not depend on the separation of the echo interface, can adaptively extract the echo energy, and can better Solving the Energy Extraction Problem of Overlapping Ultrasound Echoes

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