| dc.contributor.author | Zan, Thaw Tar Thein | |
| dc.contributor.author | Wong, Kai-Juan | |
| dc.contributor.author | Lim, Hock-Beng | |
| dc.contributor.author | Lee, Bu-Sung | |
| dc.contributor.author | Whittle, Andrew | |
| dc.date.accessioned | 2017-12-01T14:30:11Z | |
| dc.date.available | 2017-12-01T14:30:11Z | |
| dc.date.issued | 2014-11 | |
| dc.date.submitted | 2014-09 | |
| dc.identifier.issn | 2076-1465 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/112330 | |
| dc.description.abstract | Water loss through burst events or leaks is a significant problem affecting water utilities worldwide and is exacerbated by deterioration of the underground infrastructure. This paper shall report on our method to localize the source of a pipe burst by estimating the arrival time of the pressure transients at sensor nodes. Our proposed method uses Short Time Fourier Transform that has shown to overcome the limitation of Fourier Transform temporal deficiency. The paper will in addition report on the results obtained from a real leakage data obtained on the WaterWiSe@SG test-bed, which shows the superiority of our method compared to multi-level wavelet transform. | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | http://ieeexplore.ieee.org/document/6952837/ | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | Prof. Whittle via Anne Graham | en_US |
| dc.title | Leak detection and localization inwater distribution system using time frequency analysis | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Zan, Thaw Tar Thein et al. "Leak detection and localization inwater distribution system using time frequency analysis." Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014), September 1-5 2014, Lisbon, Portugal, Institute of Electrical and Electronics Engineers (IEEE), November 2014 © 2014 Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering | en_US |
| dc.contributor.approver | Whittle, Andrew | en_US |
| dc.contributor.mitauthor | Whittle, Andrew | |
| dc.relation.journal | Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014) | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dspace.orderedauthors | Zan, Thaw Tar Thein; Wong, Kai-Juan; Lim, Hock-Beng;
Whittle, Andrew J.; Lee, Bu-Sung | en_US |
| dspace.embargo.terms | N | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0001-5358-4140 | |
| mit.license | OPEN_ACCESS_POLICY | en_US |
| mit.metadata.status | Complete | |
