Corrosion Detection System for Submarin Oil Transportation Pipelines Based on Multi-sensor Data Fusion by Support Vector Machine

Corrosion Detection System for Submarin Oil Transportation Pipelines Based on Multi-sensor Data Fusion by Support Vector Machine

Corrosion

corrosion detection

Leak detection

multisensor data fusion

oil pipeline

Petroleum

Pipelines

Sensor phenomena and characterization

Sensor systems

support vector machine

Support vector machines

Transportation

Underwater vehicles

Wavelet analysis

A system to detect the corrosion of submarine oil pipeline is introduced, it got the original data by 3 groups ultrasonic sensors and flux leakage sensors. We made multiscale wavelet transform and frequency analysis to multichannels original data and extracted multi-attribute parameters from time domain and frequency domain, then we selected the key attribute parameters that have bigger correlativity with the corrosion degrees of oil pipeline among of multi-attribute parameters. The support vector machine was used to do multisensor data fusion to detect the corrosion degrees of submarin oil transportation pipelines and those key attribute parameters were used to as input vectors of support vector machine. The experimental results show that this method is feasible and effective.

5196-5199

1

Jingwen Tian

Meijuan Gao

Hao Zhou

2006 6th World Congress on Intelligent Control and Automation

2006

conferencePaper