A Segmentation Method of Amplitude-Frequency Time-varying Process Signal Based on Sliding Window
A sliding window, amplitude-frequency technology, applied in the field of amplitude-frequency time-varying process signal segmentation based on sliding windows, can solve problems such as errors, and achieve effective segmentation, good amplitude and frequency changes, and strong self-adaptive effects
Active Publication Date: 2021-07-13
XI AN JIAOTONG UNIV
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[0004] However, in actual production and processing, the process parameters change in real time, resulting in the equipment operation process curve is a variable process parameter curve, the amplitude and frequency of the process curve will change with the change of process parameters, the existing signal segmentation method cannot Errors often occur when adapting to process signals whose periods and extreme values change
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[0025] The present invention will be further described below in conjunction with the accompanying drawings and embodiments. The examples are only used to explain the present invention, not to limit the protection scope of the present invention.
[0026] Such as figure 1 As shown, the process flow of the amplitude-frequency time-varying process signal segmentation method based on the sliding window is as follows:
[0027] (1) Set a sliding window for the amplitude-frequency time-varying process signal to be analyzed, and determine the window size and sliding step;
[0028] defined as figure 2 As shown in the process curve, use vector X=[x 1 ,x 2 ,...,x i ,...,x n ] T Represents the data collection collected during the process, that is, the process curve is composed of n original signal points (the signal points are sequentially connected into the process curve according to the sampling time); determine the size of the sliding window N as the process cycle of a certain i...
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The invention discloses a sliding window-based amplitude-frequency time-varying process signal segmentation method: (1) setting a sliding window for the amplitude-frequency time-varying process signal to be analyzed; Mean value, dynamically set the lower segmentation threshold point of the process curve according to the average value, so as to obtain the lower segmentation line; (3) determine each lower segmentation point of the process curve according to the lower segmentation line, and divide the process curve according to the lower segmentation point; (4) use the segmentation The process signal in the curve, calculate the similarity of the segmentation curve, and judge the effectiveness of the segmentation. The invention divides the process cycle for the amplitude-frequency time-varying process curve, can adapt to the change of process parameters, and has strong self-adaptability, stability and robustness.
Description
technical field [0001] The invention relates to the technical field of process signal segmentation, in particular to an amplitude-frequency time-varying process signal segmentation method based on a sliding window. Background technique [0002] In the field of fault diagnosis and equipment status monitoring, both rely on the extraction of the characteristic value of the process curve, and one way of feature value extraction is to segment the process curve, and then perform feature extraction on the segmented curve. Therefore, the process curve segmentation algorithm is the basis of equipment fault diagnosis and operation status monitoring. [0003] At present, there are many researches on the segmentation algorithm of equipment operation process curve. The general method is: first define the division of functional segments in the signal cycle according to the extreme point of the signal, monotonicity or the actual meaning of the signal, and then use the time between signal s...
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IPC IPC(8): G06K9/00
Inventor 要义勇胡宇涛赵丽萍
Owner XI AN JIAOTONG UNIV