ID:
publications-4421
Type:
article
Year:
2014
Authors:
Tao, Tao and Tao, Tao and Tao, Tao and Huang, Haidong and Huang, Haidong and Li, FΔ“i and Li, Fei and Xin, Kunlun and Xin, Kunlun and Xin, Kunlun
Title:
Burst Detection Using an Artificial Immune Network in Water-Distribution Systems
Venue/Journal:
Journal of Water Resources Planning and Management
DOI:
10.1061/(asce)wr.1943-5452.0000405
Research type:
Water System:
Technical Focus:
Abstract:
AbstractA new method using artificial immune network is presented to identify pipe burst in water-distribution systems. Burst detection is considered as the problem of pattern recognition in the proposed method. An artificial database that includes information on burst events (BEs) is first established. Using the clonal selection algorithm, the artificial immune network is constructed based on the principle of immune system. The burst location is finally identified using the nearest neighbor method. Three offline case studies are illustrated in detail to evaluate the current method. A total of five possible burst locations are identified from 34 nodes in Case Study 1, whereas four possible burst locations are identified from 77 nodes in Case Study 2. The results derived from the first two case studies show that the method can identify the possible burst areas, including the true burst location, using model-simulated results. The data derived from real BEs in Case Study 3 are used to evaluate the proposed ...
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