Real-time pressure based diagnosis method for oil pipeline leakage

As detecting the pressure signal is the main method in the real-time leak diagnosis of long pipeline, an abnormal pressure diagnosis method is proposed to make the leak diagnosis rapidly and accurately. Firstly, a combination filter algorithm is designed to realize noise reduction. Then, an anomaly detection algorithm is designed to detect abnormal pressure on the head and tail of the pipeline. Finally, the relevancy of the detected novelties is computed by Pearson correlation coefficient to identify the leakages. The experimental results show that the proposed method can rapidly detect the leakage with few false alarms and accurately locate the position of the leakage.