Pipeline Leakage Signal Recognition Method Based on Improved Elmd Multiscale Entropy

A technology of multi-scale entropy and leakage signal, which is applied in the field of pipeline leakage signal identification of ELMD multi-scale entropy, which can solve the problems of unsatisfactory detection effect and difficulty in obtaining pipe section pressure data.
CN109084186BActive Publication Date: 2020-05-26CHANGZHOU UNIV

Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
CHANGZHOU UNIV
Publication Date
2020-05-26

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides a pipeline leakage signal identification method based on improved ELMD multi-scale entropy. The pipeline leakage signal identification method includes the steps that firstly, acquired experimental data are subjected to noise pre-processing to eliminate low-correlation components in signals; then pre-processed signals are subjected to ELMD processing to obtain PF components;an endpoint effect problem reserved by ELMD decomposition is weakened through a peak value waveform matching method; the multi-scale entropy of the PF components is calculated correspondingly, and multi-scale entropy values of leakage signals are arrayed and compared to eliminate background noise; a feature vector is constructed by selecting a principal PF component according to the multi-scale entropy values; the feature vector is used as an input vector of a BP neural network to train the network; and a to-be-tested sample is input into a trained BP neural network to obtain a pipeline leakage identification result. The pipeline leakage signal identification method based on the improved ELMD multi-scale entropy can adapt to various conditions of pipelines and has good testing accuracy.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of pipeline leakage detection, in particular to a pipeline leakage signal identification method based on improved ELMD multi-scale entropy. Background technique

[0002] Urban pipelines have become an indispensable tool for the development of modern cities. With the continuous expansion of its scale, due to the natural aging of equipment, climate and environment, and man-made damage, pipeline failure incidents are on the rise. Especially once the gas pipeline leaks, it is easy to Cause fire, explosion, poisoning, environmental pollution and other vicious accidents. Therefore, it has good economic value and social significance to find an effective pipeline leakage detection method and accurately identify hidden dangers of leakage.

[0003] In recent years, with the development of computer technology, pipeline leakage detection technology is developing towards the combination of software and hardware. At pres...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More