Passive Location of Multi-source Leakage in Power Plant Boilers Based on Multiple TDOA Recognition
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Abstract
To solve the problem of multi-source leakage in power plant boilers, key technologies of passive location about multiple time delay of arrival (TDOA) recognition and location were studied. The specific way is to measure the multiple TDOA using GCC-PHAT, study the accuracy of GCC-PHAT through Gaussian white noise within boiler background noise, choose SI algorithm for location, exclude false leakage source by three-array maximum heterogeneous density cluster algorithm, and simulate the leakage condition under single-, dual- and triple-source environments. Results show that the GCC-PHAT algorithm can effectively identify the multiple TDOA under multi-source environments, and the range of error is 0.01 ms under the signal-to-noise ratio(SNR) of -6 db. With the rise of array elements, the accuracy of SI algorithm increases, and that of three-array maximum heterogeneous density cluster algorithm is kept within 1.3%. The number and position of leakage source can be effectively identified through multiple TDOA recognition and triple-array maximum heterogeneous density cluster algorithm.
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