Long Distance Dipeline Accident Diagnosis System Data Acquisition And Signal Hybrid Filtering Processing
The safe transportation of the long distance gas transmission pipeline needs real-time state monitoring and fault diagnosis. But, there are often a lot of noises and disturbances in the acquired pressure and flows of signal because of the existence of various interferences. Based on determining fault diagnosis system composition of long distance pipeline, the sampling datas frequency and advanced filtering method were analyzed. In view of the signal data quantity size of the pressure and flow, based on recursive average filtering and median filtering principles, the signal hybrid filter processing method was proposed. And the application examples show the effectiveness of this method. (Abstract)
long distance pipeline fault diagnosis noise signal processing
Zhang Huaixin Liao Kexi Zhang Hongbing
Computer Science Institute Southwest Petroleum University Chengdu, China Petroleum Engineering Institute Southwest Petroleum University Chengdu, China Natural Gas & Pipeline Company CNPC Beijing, China
国际会议
重庆
英文
457-459
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）