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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Peng Wang Liansuo An Guoqing Shen Jie Shi Yongxing Lu |
| Copyright Year | 2010 |
| Description | Author affiliation: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment Ministry of Education, North China Electric Power University, No.2 BeiNong, Road, HuiLongGuan, ChangPing, Beijing, 102206, China (Peng Wang; Liansuo An; Guoqing Shen; Jie Shi; Yongxing Lu) |
| Abstract | 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). |
| Starting Page | 3179 |
| Ending Page | 3183 |
| File Size | 798930 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424467129 |
| e-ISBN | 9781424467129 |
| DOI | 10.1109/WCICA.2010.5553788 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-07 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Arrays Biological cells Boilers Delay effects Acoustics Sensors Maximum likelihood estimation error Boiler leakage localizition time differences of arrive generalized cross correlation accelerationg genetic algorithm |
| Content Type | Text |
| Resource Type | Article |
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