@article{(Open Science Index):https://publications.waset.org/pdf/10000792,
	  title     = {Non-Destructive Visual-Statistical Approach to Detect Leaks in Water Mains},
	  author    = {Alaa Al Hawari and  Mohammad Khader and  Tarek Zayed and  Osama Moselhi},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, an effective non-destructive, noninvasive
approach for leak detection was proposed. The process relies
on analyzing thermal images collected by an IR viewer device that
captures thermo-grams. In this study a statistical analysis of the
collected thermal images of the ground surface along the expected
leak location followed by a visual inspection of the thermo-grams
was performed in order to locate the leak. In order to verify the
applicability of the proposed approach the predicted leak location
from the developed approach was compared with the real leak
location. The results showed that the expected leak location was
successfully identified with an accuracy of more than 95%.
},
	    journal   = {International Journal of Environmental and Ecological Engineering},
	  volume    = {9},
	  number    = {3},
	  year      = {2015},
	  pages     = {230 - 234},
	  ee        = {https://publications.waset.org/pdf/10000792},
	  url   	= {https://publications.waset.org/vol/99},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 99, 2015},
	}