Computational intelligence for urban infrastructure condition assessment : water transmission and distribution systems

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DOIResolve DOI: http://doi.org/10.1109/JSEN.2014.2336240
AuthorSearch for: ; Search for:
TypeArticle
Journal titleIEEE Sensors Journal
ISSN1530-437X
Volume14
Issue12
Article number6855316
Pages41224133; # of pages: 12
SubjectComputational intelligence; water pipe; information fusion
AbstractWater transmission and distribution systems are critical urban infrastructure. The aging of water mains can lead to increased breakage rate, decreased hydraulic capacity, and deterioration of water quality. Condition assessment of water mains encompasses building computational model of failures, discerning distress indicators from inspection, rating health condition, and forecasting future failures. In this process, computational intelligence helps to achieve high-level awareness of system condition and facilitates the decision making in water main renewal and rehabilitation using the combined information from field knowledge, historical records, inspection results, and sensory data. This paper reviews computational approaches to achieve condition assessment of water mains. Inspection and sensor technologies involved in the assessment process are also briefly discussed.
Publication date
LanguageEnglish
AffiliationConstruction; National Research Council Canada
Peer reviewedYes
NPARC number21272761
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Record identifier4ff847c4-1867-4c6d-8c41-478336da86f8
Record created2014-12-03
Record modified2016-05-09
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