摘要
随着科技的发展,机械广泛应用于各行各业,这也使得由于齿轮磨损而产生的事故逐渐增多,为了尽量避免此类事故的发生,提出基于声发射技术的发动机星型齿轮磨损程度检测方法。该方法首先通过齿轮的传动原理结合齿轮间的啮合力作用构建齿轮传动模型,并根据声发射技术获取齿轮磨损振动信号,之后利用线性时频分析对收集的声发射信号实施去噪处理,最后利用幅域参数所具备的特性对去噪后的信号实施频域转换并分析,达到齿轮磨损程度检测的目的。方法检测效果好、不易受噪声影响且可以对齿轮磨损程度展开准确分类。
With the development of science and technology,machinery is widely used in all walks of life,which also makes the number of accidents caused by gear wear increase gradually.In order to avoid such accidents as much as possible,a method based on acous-tic emission technology to detect the wear degree of engine star gear is proposed.This method first constructs the gear transmis-sion model through the gear transmission principle and the meshing force between gears,and obtains the gear wear vibration sig-nal according to the acoustic emission technology,then uses the linear time-frequency analysis to de-noise the collected acoustic emission signal,and finally uses the characteristics of the amplitude domain parameters to implement the frequency domain con-version and analysis of the de-noised signal to achieve the purpose of gear wear detection.The method has good detection effect,is not easy to be affected by noise,and can accurately classify the degree of gear wear.
作者
庞博
卢燃
PANG Bo;LU Ran(China Energy Beidian Shengli Energy Co.,Ltd.,Xilinhot 026000 China)
出处
《自动化技术与应用》
2025年第2期115-118,131,共5页
Techniques of Automation and Applications
基金
内蒙古自治区研发和成果转化计划项目(SLNY_sbwxzx2022-32)。
关键词
声发射技术
齿轮磨损检测
信号去噪
时频分析
acoustic emission technology
gear wear detection
signal denoising
time-frequency analysis
