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