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系统辨识技术在大坝观测资料分析中的应用 被引量:1

APPLICATION OF SYSTEMATIC IDENTIFICATION TECHNOLOGY IN ANALYSIS OF OBSERVATIONAL DATA OF DAMS
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摘要 在系统辨识理论中,通常的大坝观测资料分析被认为是“离线”的。但是,随着计算机的广泛普及应用,加之微机自动化观测系统的出现,有的已成功地应用于各种大坝的变形观测,“在线”地处理这些源源不断的观测资料已成为必然。这就是本文所考虑的。此外,当传统地人二采集观测数据时,本算法在计算上也具有一定优越性。文章还讨论了多个效应量统计学模型的建立及“在线”估计问题。 In the theory of systematic identification, the analysis of observational data of damsis usually considered to be off-line. But with the wide application of computers and appearance of automatic observational systems with microcomputers, some of which have been successfully used in the observation of dam deformation the on-line processing of large amounts of observational data is inevitable. This paper discusses the on line processing of observational data. In addtion, this paper introduces a calculating method, which has some superorities in processing the observational data collected by hand in a conventional way. The establishment of statistical model with several effects and online estimatiou are also discussed in this paper.
作者 刘祖强
出处 《大坝观测与土工测试》 北大核心 1990年第1期23-28,共6页 Dam Observation and Geotechnical Tests
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