JOURNAL OF TEXTILE RESEARCH ›› 2017, Vol. 38 ›› Issue (09): 136-141.doi: 10.13475/j.fzxb.20170100806

Previous Articles     Next Articles

Loom fault analyses of tension anomaly based on tension spectrum

  

  • Received:2017-01-04 Revised:2017-05-30 Online:2017-09-15 Published:2017-09-20

Abstract:

During the process of weaving, loom mechanical failure causing warp tension anomaly is difficult to find. A new fault diagnosis method was put forward based on the analysis of the warp tension signal and spectrum of warp tension. First the time domain signal and spectral shape of tension under ideal weaving condition were analyzed. At the same time, superimposed tension caused by different forms of mechanical faults of warp tension system and their characteristics in the wave spectrum; By comparing the spectrum difference mechanical faults causing warp tension naomaly were diagnosed. The correctness of this method was proved using the example of back rest of looms. Base on tension spectrum, mechanical failure parts which caused abnormal tension are positioned quickly and accurately, and it also provides an important reference for the adjustment of weaving process parameters.

Key words: loom mechanical fault, tension anomaly, superposed tension wave, mechanical wave, warp tension

[1] . Characteristics of warp yarn hanging path under weaving tension [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(11): 32-36.
[2] . Detection method of warp tension in multilayer loom for carbon fiber fabric [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(07): 137-141.
[3] . Warp tension changing caused by shedding on loom [J]. JOURNAL OF TEXTILE RESEARCH, 2014, 35(5): 132-0.
[4] Fenglin XIA ZHANG Qi. Time-delay analysis of electronic let-off system on warp knitting machine [J]. JOURNAL OF TEXTILE RESEARCH, 2014, 35(1): 122-0.
[5] SONG Ya-Nan, XU Rong-Hua, WANG Qin-Ruo. Design and analysis on filter of rapier Loom’s warp tension control [J]. JOURNAL OF TEXTILE RESEARCH, 2012, 33(2): 115-120.
[6] QIU Haifei;WANG Yixuan. Simulation and analysis of warp tension based on virtual prototyping [J]. JOURNAL OF TEXTILE RESEARCH, 2011, 32(1): 119-123.
[7] GAO Xiaoding;WANG Xu;DAI Baoling. Development of testing system of warp tension based on optical fiber force sensor [J]. JOURNAL OF TEXTILE RESEARCH, 2009, 30(06): 113-117.
[8] LIU Guanzheng;ZHANG Senlin. Adaptive PID control for warp tension system based on RBF neural network [J]. JOURNAL OF TEXTILE RESEARCH, 2008, 29(12): 96-99.
[9] YANG Jiancheng;JIANG Xiuming;ZHOU Guoqing;WU Dongfeng;HE Hui. Controlling warp tension through Fuzzy-PID controller and its testing method [J]. JOURNAL OF TEXTILE RESEARCH, 2008, 29(10): 105-108.
[10] JIANG Yi;ZHANG Senlin. Embedded system for warp tension control based on ARM and μClinux architecture [J]. JOURNAL OF TEXTILE RESEARCH, 2007, 28(11): 124-127.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!