Compression of Fault Data in Power System Based on Lifting Wavelet Transform

Abstract:

Along with the steady elevation of fault process monitoring level, the rapid increase of the fault recording data brought troubles to data transmission and storage. A new method of data compression combing lifting wavelet transform and Huffman coding was proposed in this paper. Data were converted from time-domain to frequency-domain by lifting integer wavelet transform. The high-frequency coefficients were then compressed by an improved threshold compression algorithm. Huffman coding was carried out with the processed data. Results of simulative experiments indicate that this method has a higher compression ratio when applied to fault recording data compression.

• Periodical: Advanced Materials Research (Volume 571)
• Pages: 542-546
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.571.542
• Online since: September 2012
• Authors: Jun Fen Wang, Pei Yue Liu, Yan Ling Ma, Liang Yan Xu
• Keywords: Data Compression, Fault Record, Lifting Wavelet Transform, Power System

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DOI: 10.1109/78.806084