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Chinese Journal of Engineering Design  2019, Vol. 26 Issue (3): 354-363    DOI: 10.3785/j.issn.1006-754X.2019.03.015
Whole Machine and System Design     
Development of fault diagnosis system for corrugated compensator
NI Hong-qi, JIN Chi, FENG Fei
School of Mechanical Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China
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Abstract  

Corrugated compensator is widely used in industrial pipeline as a compensation element to compensate the displacement caused by changes in temperature and pressure, vibration and other factors. In order to diagnose the fault of corrugated compensator in real time, simplify the manual diagnosis process, improve the maintenance efficiency and safety factor, and reduce the maintenance cost, a fault diagnosis system for corrugated compensator based on LabVIEW was designed. The vibration signal acquisition scheme of corrugated compensator was designed, and the vibration experiment was carried out. The vibration signals of every corrugated compensator in the whole pipeline system were collected by using high performance acquisition instrument and acceleration sensor, then the collected signals were filtered and converted and sent to the computer through wireless network. The collected signals were analyzed by amplitude range analysis and fast Fourier transform. Finally, the analyzed and processed signals were displayed on the user interface in real time and stored. When the data was abnormal, the alarm could be issued so that the working state of the corrugated compensator could be monitored in real time, thus effectively improving the production safety factor and effectively avoiding the accident caused by the failure of the corrugated compensator, which has certain practical value.



Key wordsLabVIEW      acceleration sensor      vibration signal      corrugated compensator      wireless monitoring      fault diagnosis     
Received: 29 October 2018      Published: 28 June 2019
CLC:  TP 277  
Cite this article:

NI Hong-qi, JIN Chi, FENG Fei. Development of fault diagnosis system for corrugated compensator. Chinese Journal of Engineering Design, 2019, 26(3): 354-363.

URL:

https://www.zjujournals.com/gcsjxb/10.3785/j.issn.1006-754X.2019.03.015     OR     https://www.zjujournals.com/gcsjxb/Y2019/V26/I3/354


波纹补偿器故障诊断系统研制

波纹补偿器作为一种补偿元件被广泛应用于工业管道,用来补偿管道因温度、压力变化及振动等而产生的位移。为实时诊断波纹补偿器的故障情况,简化人工诊断过程,提高维修效率和维修安全系数,降低维修成本,设计了一种基于LabVIEW的波纹补偿器故障诊断系统。设计了波纹补偿器振动信号的采集方案,并进行了振动实验;利用高性能采集仪器与加速度传感器对整个管道系统中各个波纹补偿器振动信号进行采集,对采集到的信号进行过滤转换等处理并通过无线网络发送到计算机,并利用幅值域分析与快速傅里叶方法分析所采集的信号;将分析与处理后的信号实时显示在用户界面上并存储;当数据异常时发出警报,使工作人员能够实时监测波纹补偿器的工作状态,从而有效提高生产安全系数。结果表明,所设计的故障诊断系统可有效避免因波纹补偿器失效引发的事故,具有一定的实用价值。


关键词: LabVIEW,  加速度传感器,  振动信号,  波纹补偿器,  无线监测,  故障诊断 

1 LIURong. Design and implementation of industrial equipment diagnosis and maintenance system based on Internet of things [D]. Beijing:Beijing Jiaotong University, School of Software Engineering, 2013: 4-47.
2 LIUChang. Application of condition monitoring and fault diagnosis technology in maintenance of chemical equipment [J]. China Petroleum and Chemical Standards and Quality, 2013, 33 (13): 20.
3 LIShao-hua, ZHANGWen-tao, SONGYa-kai, et al. Analysis of fault diagnosis method based on vibration signal of high-voltage disconnector [J]. Inner Mongolia Electric Power, 2018, 36(1): 89-92.
4 YasushiTAKEUCHI . Capacitor capacity diagnosis device and power equipment provided with a capacitor capacity diagnosis device : AU2010263831 [P]. 2013-08-22.
5 RENShuan-zhe, ZHANGYi, PENGYong. Research on intelligent fault diagnosis expert system of vibratory roller [J]. Construction Machinery, 2008 (1): 82-85.
6 WENXiao-ping. Research and development of vibration monitoring and fault diagnosis system based on LabVIEW [D]. Nanjing:Southeast University, School of Information Science and Engineering, 2006: 18-20.
7 WUGuo-xin, XUBao-jie, ZHUChun-mei. Virtual vibration test system based on LabVIEW [J]. Journal of Beijing Institute of Mechanical Technology, 2000,15 (4): 39-43.
8 NIHong-qi, ZHAOYa-wen, JINChi. Development of wireless monitoring system for corrugated compensation [J]. Mechanical Engineer, 2018 (8): 23-25,28.
9 YUZhan-zhong, ZHANGZhen-cun, XIONGJun, et al. Application of ripple compensation on-line shift cladding technique in hot air pipe system [J]. Equipment Management and Maintenance, 2017 (14): 90-91.
10 ZHAOXing-jie. Study on the effect of vibration and stress on the safety characteristics of pipeline [D]. Lanzhou:Lanzhou Jiaotong University, School of New Energy and Power Engineering, 2017:13-15.
11 BRODZINSKIK, CRUIKSHANK P FOURNELJ L, et al. Failure mechanism and consolidation of the compensation bellows of the LHC cryogenic distribution line[J]. Physics Procedia, 2015, 67: 129-134. doi: 10.1016/j.phpro.2015.06.023
12 WANGChun-yue. Failure reason and reliability analysis of bellows compensation [J]. Private Science and Technology, 2013(2): 34.
13 ZHUXiao-xiang. Design and implementation of multi-channel parallel data acquisition software system based on LabVIEW [D]. Xi'an:Xi'an University of Electronic Science and Technology, Department of Electronic Engineering, 2014:20-21.
14 CHENZhao-cun. Research on graphical embedded system development technology based on LabVIEW [D]. Shandong:Shandong University, School of Information Science and Engineering, 2016: 20.
15 BELHADJH, UESUGIK, MORISHIMAK. Image processing based closed loop automated control system for cell bio-manipulation using LabVIEW and FPGA[J]. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec),2017. doi:10.1299/jsmermd.2017.2P2-L05
16 HUANGShuang-cheng, LIZhi-wei. Design and implementation of wireless temperature and humidity monitoring system based on LabVIEW [J]. Electronic Measurement Technology, 2014, 37(6): 82-84,122.
17 TANDe-bo. Design of precision assembly system based on virtual prototype technology[D]. Dalian:Dalian University of Technology, School of Mechanical Engineering, 2013: 26-28.
18 WANGXian-jun. LabVIEW to the serial port sampling measurement data processing [J]. Electronic Measurement Technology, 2014, 37 (3): 107-111.
19 WANGAi-jun, LIKun, HEXiao-mei. Design of a biaxial inclination measurement system based on LabVIEW [J]. Electronic Design Engineering, 2016, 24(2): 58-61.

[1] LI Bao-zhi, NI Hong-qi, LIN Si-yu, MENG Xian-chun. Axial dimension detection method of corrugated compensator based on image recognition[J]. Chinese Journal of Engineering Design, 2022, 29(1): 10-19.
[2] WU Guo-pei, YU Yin-quan, TU Wen-bing. Review of research on fault diagnosis of permanent magnet synchronous motor[J]. Chinese Journal of Engineering Design, 2021, 28(5): 548-558.
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[4] ZHANG Xiao-guang, GAO Fei-xiang, Lü Chuan-mao, HAN Dong. Research on design and performance of adaptive muffler system[J]. Chinese Journal of Engineering Design, 2019, 26(6): 645-651.
[5] MA Tian-bing, WANG Xiao-dong, DU Fei, WANG Xin-quan. Fault diagnosis for rigid guide based on GA-SVM[J]. Chinese Journal of Engineering Design, 2019, 26(2): 170-176.
[6] LUO Ren-he, CAO Xiao-yan, YU Zhi-qiang, ZHANG Yong-liang, LEI Yong. Measurement and control system for car body static strength test bench based on LabVIEW[J]. Chinese Journal of Engineering Design, 2019, 26(2): 206-214.
[7] HU Yi-yao, ZHU Bin, ZHANG Wei, HE Wei, SHEN Ping-sheng. Design and implementation of knowledge base building tool software[J]. Chinese Journal of Engineering Design, 2018, 25(4): 367-373.
[8] ZHANG Qiang, LIU Zhi-heng, WANG Hai-jian, ZHANG He-zhe. Research on wear degree recognition of picks based on multi feature signal fusion[J]. Chinese Journal of Engineering Design, 2018, 25(3): 278-287.
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[11] HAN Hai-tao,MA Hong-guang,HAN Kun,ZHENG Geng-le. Multitone stimulus signal design for identifying volterra frequency domain kernels[J]. Chinese Journal of Engineering Design, 2012, 19(2): 123-127.
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on the chaos weak signal detection method
[J]. Chinese Journal of Engineering Design, 2011, 18(3): 218-221.
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on infrared light screen
[J]. Chinese Journal of Engineering Design, 2011, 18(2): 149-152.