Pipeline leakage detection device based on PSO-VMD algorithm and detection method

A PSO-VMD, pipeline leakage technology, applied in the field of experimental equipment, can solve problems such as over-decomposition and under-decomposition

Pending Publication Date: 2019-04-19
NANJING UNIV OF TECH
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However, its decomposition effect depends on the preset scale K and the penalty factor α. If the artificially set p

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  • Pipeline leakage detection device based on PSO-VMD algorithm and detection method
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  • Pipeline leakage detection device based on PSO-VMD algorithm and detection method

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[0065] The specific implementation manners of the present invention will be further described in detail below in conjunction with the drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0066] The PSO-VMD algorithm is used to process the collected acoustic emission signals with and without leakage. The process of VMD algorithm processing can be regarded as solving a constrained variational problem. The model is as follows:

[0067] (1)

[0068] (2)

[0069] In the formula, t for time, j 2 = -1, the intrinsic mode function component {u k}={u 1 ,u 2 ,...,u k}, k for the first k natural mode function components, the center frequency of the natural mode function components {ω k}={ω 1 , ω 2 ,…,ω k}, δ(t) is the Dirichlet function, f for the original signal.

[0070] In order to find the optimal solution of the constraint functions of formula (1) and ...

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Abstract

The invention discloses a pipeline leakage detection device based on a particle swarm optimization-variation modal decomposition (PSO-VMD) algorithm and a detection method. Sound emission signals without leakage and with leakage are acquired through a sound emission system; firstly, a preset scale K and a penalty coefficient a for sound emission signal decomposing are obtained through the PSO-VMDalgorithm, variation modal decomposition VMD is performed on the signals, and K intrinsic mode function IMF components are obtained; signal reconstruction is performed by adopting a method based on anenergy value, and an optimal observation signal after denoising is obtained; and a domain characteristic parameter of a time domain of a reconstructed signal is taken, and finally leakage detection is performed through a support vector machine (SVM) algorithm. It is achieved that pipeline leakage after happening can be found in time, and the problem that the mistaken alarming rate of a pipeline is high is solved.

Description

technical field [0001] The invention relates to an experimental device, in particular to a pipeline leakage detection device and detection method based on a PSO-VMD algorithm, which are used to detect leakage accidents in industrial pipelines. Background technique [0002] As one of the economical, efficient and easy-to-manage transportation methods, the pipeline has become one of the five contemporary transportation methods (highway, railway, waterway, aviation, pipeline). As of 2017, the total mileage of pipeline oil (gas) in my country has reached Reaching 120,000 kilometers, pipelines play an important role in the national economy. However, with the increase of pipeline mileage, it brings difficulties to the safe operation of pipelines, such as the aging of pipeline equipment, corrosion and leakage of pipelines, accidents of artificial drilling and oil theft, changes in geological conditions (earthquakes, floods, etc.), etc. Leakage and its secondary and derivative accid...

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Application Information

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IPC IPC(8): F17D5/06
CPCF17D5/06G01M3/243G01M3/02
Inventor 蒋军成刁旭倪磊卞海涛池招招储成伟王志荣沈国栋
Owner NANJING UNIV OF TECH
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