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A data discrimination method and system based on curve alignment
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A discriminant method and curve technology, applied in complex mathematical operations, etc., can solve problems such as inconvenient implementation and high computational complexity, and achieve the effects of easy implementation, simple discriminant features, and fast calculation speed
Pending Publication Date: 2019-03-08
湖南轨道技术应用研究中心有限公司 +1
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[0007] The purpose of the present invention is to provide a data discrimination method and system based on curve comparison to solve the problem that the traditional data discrimination method has high computational complexity and is not easy to implement
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Embodiment 1
[0057] The following introduces Embodiment 1 of a data discrimination method based on curve comparison provided by the present invention, see figure 1 , embodiment one includes:
[0058] Step S101: Obtain the actual curve of the parameter to be judged;
[0059] Step S102: Retrieving the reference curve of the parameter to be judged from the database;
[0060] Step S103: Preprocessing the actual curve and the reference curve to obtain a difference sequence, wherein the difference sequence Y diff ={y k},y k is the kth difference value in the difference value sequence, k=1, 2, ..., M, and M is the number of sampling points of the difference value sequence;
[0061] Step S104: According to the difference sequence, calculate the difference area ratio and the difference period ratio, wherein the difference area ratio λ s = S e / S d , the difference period ratio λ T =T e / T d , ε is the threshold error, ΔT is the sampling interval;
[0062] Step S105: According to the ...
Embodiment 2
[0065] Embodiment two specifically includes:
[0066] Step S201: Obtain the actual curve of the parameter to be judged, and retrieve the reference curve of the parameter to be judged from the database.
[0067] The parameter to be judged refers to one parameter among many operating parameters, and is referred to as the parameter to be judged for short below. In an actual application scenario, data preparation needs to be performed before step S201. Specifically, it may include collecting an actual detection curve of the parameter to be judged, and pre-storing a reference curve corresponding to the parameter to be judged.
[0068] Specifically, multiple detection parameter reference curves are stored in the database in advance, and the detection parameters can be recorded as c 1 、c 2 ,... c n . Such as figure 2 As shown, when data discrimination is required, the parameter to be judged c m The reference curves are retrieved from the database.
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Abstract
The invention discloses a data discrimination method based on curve comparison. After obtaining the actual curves of the parameters to be judged, the reference curves of the parameters to be judged can be retrieved from the database, and the actual curves and the reference curves can be pretreated to obtain the difference sequence of the two curves, and the difference area ratio and the differenceperiod ratio of the difference sequence can be calculated, and then whether the parameters to be judged are normal or not can be judged according to the judging model. The method has the advantages of simple distinguishing feature, fast calculation speed and easy realization, and can be used in the large scale system such as rocket or satellite test, maglevtrain parameter monitoring and so on. In addition, the invention also provides a data discriminationsystem based on the curve alignment, the function of which corresponds to the method.
Description
technical field [0001] The invention relates to the field of data interpretation, in particular to a data discrimination method and system based on curve comparison. Background technique [0002] Fast and accurate equipment working status monitoring is an important part of the maglevtrain fault diagnosis system. [0003] The maglevtrain is a complex electromechanical system that integrates various signals such as electricity, gas, and hydraulics. The train monitoring and diagnosis system collects a large amount of data and various types. Rapid and accurate identification of these on-board data is not only an important guarantee for monitoring the working status of train equipment, but also has great significance for in-depth analysis and collection of evidence for system failures after the event. [0004] The traditional identification method of maglev train equipment status is based on the expert system. However, since there are hundreds of parameter data collected by th...
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