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SDT算法及其在过程数据压缩中的应用 被引量:7

SDT ALGORITHM AND ITS APPLICATION IN PROCESS DATA COMPRESSION
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摘要 首先阐述了过程数据压缩的重要性及特点,然后介绍了SDT(Swinging Door Trending)算法的基本原理,给出了离线压缩、在线压缩及信号重建的软件框图,最后介绍了SDT算法的应用,并得出了一些结论。希望对过程数据压缩的研究和应用提供一定的帮助。 First, the importance and the features of process data compression are described in this paper. Second, the main principle of SDT (Swinging Door Trending ) algorithm is introduced, the software diagrams of offline compression, online compression and signal reconstruction are given. In the end, the application of SDT algorithm is presented and some conclusions are drawn. We wish it were helpful to the future research and application of process data compression.
出处 《计算机应用与软件》 CSCD 北大核心 2003年第1期47-49,共3页 Computer Applications and Software
关键词 SDT算法 过程数据压缩 应用 信号重建 数据采集 Process data compression SDT algorithm Signal reconstruction
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参考文献3

  • 1[1]Bakshi, B. R. and Stephanopoulos, G. Compression of Chemical Process Data by Functional Approximation and Feature Extraction. AIChE Journal, 1996,42(2):477~492.
  • 2[2]Mah, R. S. H. et al. Process Trending with Piecewise Linear Smoothing. Computer chemical engineering, 1995,19(2):129~137.
  • 3[3]Bakshi, B. R. and Stephanopoulos, G. Representation of process trends-IV.Introduction of real-time patterns from operating data for diagnosis and supervisory control. Computer chemical engineering, 1994,18(4):303~332.

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