A new wear detection technique for TBM cutters

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

Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (24) : 7-12.

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Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (24) : 7-12.

A new wear detection technique for TBM cutters

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

 

Key words

acoustic emission / Kalman filtering / entropy model / TBM / condition assessment

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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

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