Abstract
Valve internal leakage is easily found because of various defects resulting from environmental factors and load fluctuation. The timely detection of valve internal leakage is of great significance to the safe operation of pipelines. As an effective means for detecting valve internal leakage, the acoustic emission technique is characterized by nonintrusive and strong anti-interference ability, which can realize the in situ monitoring of the valve running status in real time. In this paper, acoustic emission signals from an internal leaking valve were obtained experimentally. Then, the dimensionality reduction technology based on factor analysis was introduced to the processing of valve internal leakage detection data. Next, the wavelet decomposition was carried out to decompose the sample feature set into four subsets. Finally, the decomposed sample feature sets were inputted into the error backpropagation (BP) neural network quantitative model, respectively. The optimized results show that the predicted internal leakage rate by the wavelet-BP neural network model has good precision with an error of less than 10%. The wavelet-BP neural network model can realize the analysis of the valve internal leakage rate quantitatively and has good robustness, which provides technical support and guarantees the safe operation of natural gas pipeline valves.
Highlights
In recent years, with the increasing use of natural gas, the pipe diameter and pressure of natural gas transmission pipelines have been increasing synchronously [1]
Varies with number of hidden layers; (b) varies with the number of hidden layers and (c) varies with the number of hidden layers; (b) root mean square error (RMSE) varies with the number of hidden layers and (c) R varies with the number of hidden hidden layers
This paper proposed an effective method for predicting the internal leakage rate of natural gas pipeline
Summary
With the increasing use of natural gas, the pipe diameter and pressure of natural gas transmission pipelines have been increasing synchronously [1]. The role of valves plays in ensuring the safe operation of pipelines is becoming more relevant. The requirements for safety and reliability of valves are increasing. In the operation of natural gas pipeline valves, defects such as pitting corrosion, surface damage and overall fracture may occur, which may result in internal leakage [2,3]. If the internal leakage in a valve cannot be detected in time, it may cause the combustible gas to be pumped into the low-pressure manifold from the high-pressure pipe, which will bring serious safety hazards to the normal operation of the long-distance gas pipelines. The timely and effective detection of the internal leakage in a valve is of great significance to ensure the safe operation of the pipelines
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