Application of vibration signal in safety detection of cross-oil and gas pipeline
A vibration sensor-based method for accidental load detection of crossing oil and gas pipe-lines is proposed.Based on the threshold processing theory,a threshold-mode-maximum denoising method is constructed,and the center of gravity frequency,mean square frequency and standard devi-ation of frequency are used as the characteristic parameters to judge the operation status of oil and gas pipelines.By building a long-distance pipeline vibration experiment system,the accidental load of crossing oil and gas pipelines is simulated by the method of foreign object impact,and the vibration signal is processed by noise reduction and the characteristic parameters are extracted.The results show that the signal-to-noise ratio and computational speed of the proposed denoising method are greatly improved compared with the traditional de-noising method.There is a significant difference between the vibration signal under normal operation and foreign object impact,which illustrates the effectiveness of the vibration signal as an indicator for monitoring the state of crossing oil and gas pipelines.The vibra-tion signal-related characteristic parameters increase with the increase of the distance between the signal source and the sensor,but are not sensitive to the pipeline.The relevant characteristic parame-ters of the vibration signal increase with the distance between the signal source and the sensor,but are not sensitive to the pipeline transmission volume.The fluid flow direction has an important influence on the vibration signal,and the relevant characteristic parameters are significantly higher when the signal source is upstream of the sensor than when the signal source is downstream of the sensor.
crossing oil and gas pipelinesafety inspectionvibration signalwavelet denoisingchar-acteristic parameters
万方数据
维普
