一种新型TBM刀具磨损检测技术

PDF(1381 KB)

振动与冲击 ›› 2017, Vol. 36 ›› Issue (24) : 7-12.

论文

一种新型TBM刀具磨损检测技术

李宏波1,2,陈馈1,2,周建军1,2,张兵1,2

作者信息 +

A new wear detection technique for TBM cutters

LI Hong-bo1,2 ，CHEN Kui，ZHOU Jian-jun1,2，ZHANG Bing1,2

Author information +

文章历史 +

摘要

随着隧道及地下空间工程的发展，TBM工法被越来越多的使用。针对TBM施工中刀具磨损更换频繁且缺乏有效方法对刀具状态进行评估问题，以TBM模态掘进试验台搭载的不同刀具为研究对象，将声发射检测、自适应卡尔曼滤波和一种改进的信息熵值赋权模型应用于TBM刀具状态评估和检测，基于自适应卡尔曼滤波和改进信息熵值模型的声发射多散点多参量权重融合法可有效的反映出刀具的不同磨损状态，可为TBM刀具现场检修和保养提供参考。

Abstract

TBM technology is applied more and more with the development of tunnel and underground engineering. Aiming at TBM cutters’ frequent wear and renewal and lack of effective methods to evaluate their states in operation, different cutters carried on a TBM modal tunneling platform were taken study objects, acoustic emission detection, adaptive Kalman filtering and an improved information entropy model were applied to evaluate TBM cutters’ conditions and detect them. It was shown that the acoustic emission multi-scatter multi-parameter weight fusion method based on the adaptive Kalman filtering and the improved information entropy model can effectively reflect different cutters’ wear states and provide a guide for repairing and maintaining TBM cutting tools in site.

导出引用

李宏波1,2,陈馈1,2,周建军1,2,张兵1,2. 一种新型TBM刀具磨损检测技术[J]. 振动与冲击, 2017, 36(24): 7-12

LI Hong-bo1,2,CHEN Kui，ZHOU Jian-jun1,2，ZHANG Bing1,2. A new wear detection technique for TBM cutters[J]. Journal of Vibration and Shock, 2017, 36(24): 7-12

参考文献

[1] D.Mba,L.Alfayez.Detection of incipient cavitation and determination of the best efficiency point for centrifugal pumps using Acoustic Emission [J]. Journal of Mechanical Process Engineering, Part E, 2013,25(9-10):342-343.
[2] Neill,Reuben,Sandford.Detection of Recirculation in Pumps using Acoustic Emission[J]. COMADEM 1998.Monash University, Australia. 2008: 643-649.
[3] 宗源,张梦.基于趋势分析的AMDF基音检测改进算法[J].振动与冲击，2014.Vol33 No.20.35-38.
ZONG Yuan，ZHANG Meng.Modified ADMF pitch detection algorithm based on trend analysis[J].Journal of Vibration and Shock, 2014.Vol33 No.2035-38.
[4] 孙金山，陈明.TBM滚刀破岩过程影响因素数值模拟研究[J].岩土力学,2011Vol.32 NO.6 1892-1897.
SUN Jin-shan,CHEN-Ming.Numerical simulaition of influence factors for rock fragmentation by TBM cutters[J]. Rock and Soil Mechanics, 2011 Vol.32 NO.6 1892-1897
[5] Tim Toutountzakis, David Mba.Observations of acoustic emission activity during gear defect diagnosis[J].NDT&E International,2003: 471-477.
[6] Miettinen J,Andersson P. Methods to monitor the running situation of grease [J]. lubricated rolling bearings. Finland, 2015:92—101.
[7] Chee Keong Tan, David Mba.Identification of the acoustic emission source during a comparative study on diagnosis of a spur gearbox[J] .Tribology International, 2005 (38):469-480.
[8] 胡晓依.基于滤波器组分解的周期性振动冲击信号解调方法及其应用[J].振动与冲击，2008.Vol27 No.8.132-135.
Hu xiao yi.Demodulation method and its application of periodic vibration signal based on filter bank decomposition[J] .Journal of Vibration and Shock, 2008.Vol27 No.8.132-135.
[9]AJ.Martyr.Coupling the engine to the dynamometer[J]．Engine Testing(Third Edition)，2007，Pages 170-196．
[10]Baran G, Tsnda I. A new method for computing Lyapunov exponents[J]. Physics Letters A. 2013, 175: 421-427.
[11] 郭瑜,迟毅林.弗德卡曼滤波阶比跟踪解耦新方法[J].振动与冲击，2009.Vol28 No.7.66-68.
GUO Yu,CHI Yi-lin. New decoupling approach forVold-Kalman-filteringorder tracking[J] .Journal of Vibration and Shock,2009.Vol28 No.7.66-68.
[12]CAO Liangyue. Practical method for determining the minimum embedding dimension of a scalar times ries[ J]. Physical D. 1997, 110 ( 122): 43-50.
[13]Albano A M, Muench J,Schwartz. SVD and Grassberger Procaccia algorithm[J]. Physical Review A. 2011, 38: 3017-3026.
[14] Rogers LM. The application of vibration analysis and acoustic emission source location to on-line condition monitoring of antifriction bearings [J]. Tribology international,2004, 12(2) :51-59.
[15]Abdullah M. Al-Ghamdi, D. Mba.Estimation of bearing defect size with Acoustic Emission[J].INSIGHT, 2004,46(12):758-761.
[16]Takeo, Yoshioka. A detection of rolling contact subsurface fatigue cracks using acoustic emission technique [J]. Lubrication engineering. 2013, 49 (4) : 303-308.
[17]F.Takens. Determing strange attractors in turbulence[J]. Lecture notes in Math, 1981, 898：361-381.
[18]Kim H S, Eykholt R,Salas J.D.Nonlinear dynamics,delay times, and embedding windows[J]. Physica D. 2009.127: 48-59.
[19] Namba, C. and Hayashi, T. Acoustic Emission of bending fatigue process of super-carburised spur gear teeth. Progress in Acoustic Emission XI[J]. 2012.89:304-310.
[20]Miyachika, K., Oda, S. and Koide, T. Acoustic Emission of bending fatigue process of spur gear teeth. Journal of Acoustic Emission[J]. 2005.58:47-53.