A Gaussian Model Based Energy Extraction Method for Rolling Bearing Overlapped Ultrasonic Echoes

Abstract

A Gaussian model-based energy extraction method for overlapping ultrasonic echoes of rolling bearings. First, the continuous pulse ultrasonic echo signal is obtained to extract the single-pulse ultrasonic echo; Ultrasonic echo energy expression; then according to the least squares method to construct the fitness function of the particle swarm algorithm to obtain the final estimated parameter vector; combined with the single-pulse ultrasonic echo waveform and the double ultrasonic echo Gaussian model, through the time domain waveform and wavelet transform Estimate the initial value of the particle swarm algorithm; then input the particle swarm algorithm, control the particle swarm algorithm to iterate continuously according to the fitness function until convergence; substitute the final estimated amplitude and bandwidth into the parameterized ultrasonic echo energy formula to obtain the energy of the two echoes Repeatedly extracting the energy of each pulse ultrasonic echo, calculating the energy coefficient of the ultrasonic echo, and obtaining the UEER curve; the present invention does not depend on the separation of the echo interface, and can adaptively extract the 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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