Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/80948
Type: | Conference item |
Title: | Minimization algorithms and experimental inverse transient leak detection |
Author: | Vitkovsky, J. Simpson, A. Lambert, M. |
Citation: | Conference on Water Resources Planning and Management, Roanoke, Virginia, USA, 2002: 10 p |
Publisher: | ASCE |
Issue Date: | 2002 |
Conference Name: | Conference on Water Resources Planning and Management (2002 : Roanoke, Virginia, USA) |
Statement of Responsibility: | John P. Vítkovský, Angus R. Simpson, and Martin F. Lambert |
Abstract: | The inverse transient method has been verified for leak detection from a laboratory pipeline using a least-squares minimization. The process determines the size and location of a leak. In previous numerical studies the Levenberg-Marquardt algorithm and genetic algorithms were used to perform this minimization. In the current experiment, the Levenberg-Marquardt algorithm yields incorrect leak locations and magnitudes. The complexity of the objective function causes the Levenberg-Marquardt algorithm to fail. The inverse transient method has been verified for leak detection from a laboratory pipeline using a least-squares minimization. The process determines the size and location of a leak. In previous numerical studies the Levenberg-Marquardt algorithm and genetic algorithms were used to perform this minimization. In the current experiment, the Levenberg-Marquardt algorithm yields incorrect leak locations and magnitudes. The complexity of the objective function surface causes the Levenberg-Marquardt algorithm to fail. The use of the shuffled complex evolution algorithm—a more global minimization algorithm—improves results, however convergence is slow. A systematic approach to the application of the Levenberg-Marquardt algorithm determines the correct leak location and magnitude more efficiently. |
Rights: | Copyright status unknown |
Appears in Collections: | Aurora harvest 4 Civil and Environmental Engineering publications |
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