DocumentCode :
514645
Title :
Identifying Gravel Layer Using Time-Domain Analysis Methods for Landfill Leak Repair
Author :
Wang Yu-Ling ; Nai Chang-Xin ; Guan Shao-peng ; Jin Zhao-di
Author_Institution :
Comput. Sci. & Technol., Shandong Institude of Bus. & Technol., China
Volume :
2
fYear :
2010
fDate :
13-14 March 2010
Firstpage :
406
Lastpage :
409
Abstract :
Drilling and grouting repair technology is an effective way to repair leaks in landfill which need to drill into gravel layer firstly, and then make grouting repair. So it is important to judge correctly the location of bit when drilling for avoiding damaging the HDPE membrane. For judging the location of bit, in this paper, we proposed three time domain methods to analyze the acceleration of vibration signal which are the waveform amplitude analysis method, the rolative sum of absolute values method and the sub-root-mean-square method. The results show that: all of the three methods can distinguish waste layer and gravel layer clearly, and the waveform amplitude analysis method is more intuitively than the other two methods, while the rotative sum of absolute values method and the sub-root-mean-square method can susceptively reflect the mutation and the probability distribution of the acceleration amplitude in unit time.
Keywords :
drilling (geotechnical); maintenance engineering; mean square error methods; statistical distributions; time-domain analysis; waste disposal; waveform analysis; HDPE membrane; drilling; gravel layer identification; grouting repair technology; landfill leak repair; probability distribution; subroot mean square method; time-domain analysis; vibration signal acceleration; waveform amplitude analysis method; Automation; Mechatronics; Time domain analysis; Acceleration of vibration signals; Drilling and grouting repair technology; Time-domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
Type :
conf
DOI :
10.1109/ICMTMA.2010.443
Filename :
5458683
Link To Document :
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