A new real-time algorithm of wavelet transform for detection of sudden-changing signals of power systems |
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Authors: | Jianjun He Zhen Ren Wenying Huang Hong Zhou Tao Lin |
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Affiliation: | (1) College of Electrical Engineering, Chongqing University, 400044 Chongqing, China;(2) South China University, 510640 Guangzhou, China;(3) Central China Power Group Co., 430077 Wuhan, China |
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Abstract: | With a complex wavelet function, a new real-time recursive algorithm of wavelet transform (WT) is analyzed in detail. Compared with the existing recursive algorithm in two directions, the computing time is greatly reduced in response to faults signals in power systems, and the same recursive algorithm can be generalized to other wavelet functions. With the phases and magnitudes of complex WT coefficients under the fast recursive algorithm, a method to detect faults signals of power systems is presented. Lastly, the analyzing results of some signals show that it is effective and practical for the complex wavelet and its real-time recursive algorithm to detect faults of power systems. |
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Keywords: | sudden-changing signals real-time wavelet recursive algorithm integral wavelet transform. |
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