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Boiler tube leakage acoustic localization base on AGA

Efficient and reliable operation is the main requirement of the modern power plant,hence it's significant that the boiler tube leakage source is localized precisely. The four-element acoustic array was exploited in the furnace and the schematic of sensors distributed for capture the leakage signal were given. A set of hyperbolic equations were established and Accelerating genetic algorithm (AGA) was proposed to give an iterative solution avoiding initial guess and far-field assumption. The stable and sharp peak can be obtained by an approximation of the maximum likelihood (ML) estimator, which was verified via the experiment on localization of leakage. The time differences of arrival (TDOA) error level was 0.1us, the array failed to fix position as the remarkable coordinate error, while the error level was 0.01us, the coordinates error was linearized and reduced to the permitted range (less than 1m).