Four-component borehole strain data anomaly extraction method based on Hilbert-Huang transform
A technology of data anomalies and extraction methods, applied in special data processing applications, electrical digital data processing, instruments, etc., to achieve the effect of eliminating interference factors
Inactive Publication Date: 2019-01-15
JILIN UNIV
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Problems solved by technology
However, in the existing technology, it is impossible to eliminate the interference of the influencing factors of the borehole strain data and extract the abnormal information related to the crustal strain change in the process of data processing.
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[0041] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.
[0042] Take the four-component borehole strain minute value data of the Guzan earthquake precursor monitoring station in Sichuan area as an example. The data was measured from October 1, 2012 to April 30, 2013 using the YRY-4 four-component borehole strain gauge.
[0043] Step a, enter the four-component data of borehole strain and record it as S 1 , S 2 , S 3 , S 4 , The temperature data is marked as T, the air pressure data is marked as P, the borehole water level data is marked as L, and the borehole air pressure data is marked as P z . According to formula (1), the four-component data of borehole strain is converted ...
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The invention relates to the field of four-component borehole strain data anomaly extraction, particularly, the invention relates to a four-component borehole strain data abnormal extraction method based on Hilbert-Huang transform, which comprises the following steps: borehole strain four-component data and temperature data, barometric pressure data, borehole water level data and borehole barometric pressure data are inputted, and the borehole strain four-component data are converted into surface strain Sa; the borehole strain data after strain conversion are decomposed by the ensemble empirical mode decomposition. The harmonic periods of the decomposed eigenmode functions and the harmonic periods of air temperature, air pressure, borehole water level and borehole air pressure disturbancefactors are calculated. Removing the eigenmode function corresponding to the harmonic period of the interfering factor; the remaining eigenmode functions are transformed by Hilbert transform, and theinstantaneous energy is calculated. Output instantaneous energy diagram. The characteristics of the influencing factors of the borehole strain data can be extracted pertinently, which provides supportfor the exclusion of the influencing factors and the problem of extracting the abnormal information related to the crustal strain change.
Description
Technical field [0001] The invention relates to the field of abnormal extraction of four-component borehole strain data, in particular to a method for extracting abnormality of four-component borehole strain data based on Hilbert Huang transform. Background technique [0002] Borehole strain observation is to discover and grasp the temporal and spatial distribution of crustal strain changes before, during and after earthquakes and the development and change rules through precise observation of the continuous changes in the internal strain state of the formation over time. It is of great significance to earthquake prediction and prediction. . Due to its high precision, borehole strain observation is easily disturbed by environmental factors, so that the information related to crustal strain changes is submerged in these disturbances. The main interference factors of borehole strain data are air temperature, air pressure, borehole water level (precipitation), and borehole air pres...
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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 朱凯光池成全于紫凝樊蒙璇李凯艳孙慧慧
Owner JILIN UNIV