Leakage detection of natural gas pipeline based on neural networks and data fusion

Leakage detection of natural gas pipeline based on neural networks and data fusion

Biological neural networks

D-S evidence theory

data fusion

Data integration

leak detection

Leak detection

Neurons

Pipelines

RBF neural network

wavelet denoising

It was important to detect the leaking of natural gas pipeline whether leakage happened, the comprehensive and comparative analysis of various methods of leak detection indicated that most common detection method which was difficult to identify and apply to the natural gas pipeline. In this paper the method was proposed based on RBF neural network and the data fusion of D-S evidence theory for detecting the pipeline leak. Extracted neural network's input parameter through wavelet denoising, then put the parameter to neural network and calculated by multi-sensor data fusion algorithm so as to acquire leaking information.

1171-1175

Bingkun Gao

Guojun Shi

Qing Wang

Proceedings of 2013 2nd International Conference on Measurement, Information and Control

2013

conferencePaper