Research on Fault Prediction and Health Management(PHM)of Natural Gas Pipeline Compressor Units
Smart pipeline network has comprehensive prediction and other capabilities,but current-ly,key equipment in oil and gas pipelines such as compressor units frequently experience unplanned shutdowns,and maintenance assurance strategies mainly rely on"post maintenance"and"regular main-tenance".The research ideas and methods for fault prediction and forecasting are not clear enough and not scientific enough.Regular maintenance and repair are required,and the fault management and con-trol capabilities and maintenance strategies need to be further improved.The current situation of the construction of typical compressor units and equipment fault prediction and health management(PHM)at home and abroad is summarized,and the core problems,research methods,key quantitative indica-tors,and advantages of various research methods for pipeline compressor unit gas turbine performance algorithms,compressor efficiency algorithms,simulation algorithms are analyzed for the first time.The key and difficult points of the PHM system for natural gas pipeline compressor units are studied,thoughts and prospects are proposed for key research contents such as platform integration and system design,unit variable operating conditions,multivariate data analysis technology,shutdown fault fail-ure model and algorithm research,verification and evaluation,knowledge graph,etc.The research has certain reference significance for improving the management of key equipment of oil and gas pipe-lines,and carrying out platform integration design and core technology research on intelligent pipelines.
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