Guoqing Shen

Time Delay Estimator for Boiler Tube Leakage Localization

The inference of strong background noise and reflected by the wall and tube rows surface makes it impossible that justify accurately leakage position employing the characteristic received by multi-channel sensors. It is the ‘bottleneck’ for promoting the accuracy of boiler tube leakage location. The 600MW supercritical boiler model was established, the leakage source propagation process of reflection and attenuation in boiler furnace was simulated by EASE. The approximate signal to noise ratio (SNR) was obtained and the reverberation time was calculated with the squared impulse response integration method on the foundation of simulation. The time delay estimation algorithm PTN, SWITCH derived from PHAT and ML, respectively, are proposed and experiments results revealed the superiority over the classical generalized cross correlation (GCC) method in reverberant and noisy boiler background. Although SWITCH is outperformed by PTN slightly, but the prior knowledge of reverberant energy to direct energy ratio may be hard to obtain in practice and frequencies onset detection is required in PTN method, so the implementation of SWITCH is much easier.© 2011 ASME

Boiler tube leakage acoustic localization base on AGA

Efficient and reliable operation is the main requirement of the modern power plant,hence its 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).

Boiler tube leakage location optimization via adaptive Gaussian mutation

Efficient and reliable operation is the main requirement of the modern power plant, hence its significant that the boiler tube leakage source is localized precisely. The four-element acoustic array was exploited in the furnace, a set of hyperboloidal equations are established and the sensors distributed for capture the leakage signal is given. In order to avoiding initial guess and distant source assumption, adaptive Guassian mutation operator implemented in GA is employed to give an explicit solution. Comparing GA to quasi-Newton method, it indicates that GA is more robust and accuracy, but cost more time to converge. Time delay estimator error has great influence on localization accuracy, the conclusion that error level is 0.01us,the four-element array localization error is in the permitted range (smaller than 1m) is draw by numerical calculation.

Notice of Retraction Boiler Tube Leakage Acoustic Localization Error Analysis

Efficient and reliable operation is the main requirement of the modern power plant, hence its significant that the boiler tube leakage source is localized precisely. The four-element acoustic array was exploited in the furnace, a set of hyperbolic equations were established and the sensors distributed for capture the leakage signal were given. 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).