[1]朱来发,金花雪,范伟,等.加速度传感器的振动筛螺栓松动故障诊断系统[J].华侨大学学报(自然科学版),2024,45(1):10-15.[doi:10.11830/ISSN.1000-5013.202307003]
　ZHU Laifa,JIN Huaxue,FAN Wei,et al.Fault Diagnosis System for Bolt Loosening in Vibrating Screen Based on Acceleration Sensor[J].Journal of Huaqiao University(Natural Science),2024,45(1):10-15.[doi:10.11830/ISSN.1000-5013.202307003]
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加速度传感器的振动筛螺栓松动故障诊断系统()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第45卷
期数:
2024年第1期
页码:
10-15
栏目:
出版日期:
2024-01-11

文章信息/Info

Title:
Fault Diagnosis System for Bolt Loosening in Vibrating Screen Based on Acceleration Sensor
文章编号:
1000-5013(2024)01-0010-06
作者:
朱来发;  金花雪;  范伟;  刘斌
华侨大学 机电及自动化学院, 福建 厦门 361021
Author(s):
ZHU Laifa;  JIN Huaxue;  FAN Wei;  LIU Bin
School of Electromechanical and Automation, Huaqiao University, Xiamen 361021, China
关键词:
振动筛;  加速度传感器;  故障诊断;  螺栓松动
Keywords:
vibrating screen;  acceleration sensor;  fault diagnosis;  bolt looseness
分类号:
TH133.3
DOI:
10.11830/ISSN.1000-5013.202307003
文献标志码:
A
摘要:
针对GLS10型直线振动筛弹簧紧固螺栓松动故障,结合软件LABVIEW和NIUSB-6363数据采集卡,构建一种基于加速度传感器的振动筛螺栓松动故障诊断系统。通过拧松固定螺栓个数的方法,模拟振动筛弹簧悬臂梁固定端松动故障。结果表明:当振动筛悬梁臂固定端松动时,其最大振幅明显减小,其幅度为原先幅值的53%,可以有效判断故障类型;当故障类型相同、故障程度不同时,分析得到的加速度信号图谱互不相同,且振幅差异明显,可根据振幅的阈值来判断螺栓松动的故障程度。
Abstract:
A vibrating screen bolt loosening fault diagnosis system based on acceleration sensors is constructed by combining LABVIEW software and NIUSB-6363 data acquisition card for the GLS10 linear vibrating screen spring fastening bolt loosening fault. The loosening fault of the fixed end of the vibrating screen spring cantilever beam was simulated by changing the number of loosening bolts. The results show that when the fixed end of the suspension arm of the vibrating screen is loose, its maximum amplitude significantly decreases to 53% of the original amplitude, which can be used to effectively determine the fault type. When the fault type is the same but with various degrees, the acceleration signal spectra obtained varies, and the difference of amplitude is significant, the fault degree of bolt loosening can be determined based on the threshold of the amplitude.

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备注/Memo

备注/Memo:
收稿日期: 2023-07-05
通信作者: 朱来发(1977-),男,高级实验师,主要从事智能制造、机电控制的研究。E-mail:hquetc_zhu@hqu.edu.cn。
基金项目: 国家自然科学基金资助项目(52275530); 福建省自然科学基金资助项目(2020J01068); 新工科项目(E-JX20201518); 高等教育学会专项课题(22FJSYZD003)
更新日期/Last Update: 2024-01-20