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基于球面误差补偿的振动信号分析

Vibration Signal Analysis Based on Spherical Error Compensation.

作者信息

Wei Shan

机构信息

Industry Design Department, Xin Xiang Universtiy, Xinxiang, China.

出版信息

Front Bioeng Biotechnol. 2022 Aug 19;10:950580. doi: 10.3389/fbioe.2022.950580. eCollection 2022.

DOI:10.3389/fbioe.2022.950580
PMID:36061432
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9438900/
Abstract

A vibrating screen is important equipment in industrial production. According to the principle of bionics, a vibrating screen can be divided into a linear vibrating screen, elliptical vibrating screen, ball vibrating screen, and banana vibrating screen. There are also great problems with the use of a vibrating screen. The vibrating screen works due to the vibration excitation force generated by vibration. This work studies the motion trajectory of a vibrating screen by taking the vibrating screen with line motion trajectory as the research object. In this study, the vibration information is detected by an intelligent sensor, and the signal is filtered by an intelligent algorithm. Then, the spherical error compensation is used to improve the calculation accuracy, and the least square method is used to evaluate the error. Finally, the accurate vibration trajectory of the vibrating screen is obtained. The acquisition of a vibration track can provide the working efficiency and safety performance of the vibrating screen, and has social and economic benefits.

摘要

振动筛是工业生产中的重要设备。根据仿生学原理,振动筛可分为直线振动筛、椭圆振动筛、圆振动筛和香蕉振动筛。振动筛的使用也存在很大问题。振动筛通过振动产生的激振力工作。本研究以直线运动轨迹的振动筛为研究对象,研究振动筛的运动轨迹。在本研究中,通过智能传感器检测振动信息,并采用智能算法对信号进行滤波。然后,采用球面误差补偿提高计算精度,并用最小二乘法评估误差。最终得到振动筛准确的振动轨迹。振动轨迹的获取可以提高振动筛的工作效率和安全性能,具有社会效益和经济效益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b16/9438900/c66476ea3d0f/fbioe-10-950580-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b16/9438900/3724e9a70405/fbioe-10-950580-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b16/9438900/f214cb5c2e10/fbioe-10-950580-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b16/9438900/c91136203cf7/fbioe-10-950580-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b16/9438900/b1c8be982838/fbioe-10-950580-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b16/9438900/cc9094744e66/fbioe-10-950580-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b16/9438900/c66476ea3d0f/fbioe-10-950580-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b16/9438900/3724e9a70405/fbioe-10-950580-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b16/9438900/f214cb5c2e10/fbioe-10-950580-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b16/9438900/c91136203cf7/fbioe-10-950580-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b16/9438900/b1c8be982838/fbioe-10-950580-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b16/9438900/cc9094744e66/fbioe-10-950580-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b16/9438900/c66476ea3d0f/fbioe-10-950580-g006.jpg

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