Application of Multi-Parameter Detection and Fault Diagnosis in Automatic Control System of Oil and Gas Field Instrumentation
A multi-parameter joint detection and fault intelligent diagnosis method is designed to meet the stable operation requirements of the automatic control system of oil and gas field instrumentation.First,delved into the key parameters that affect the accuracy of each instrument.Then,a data-driven fault diagnosis method based on the LSTM model is used to realize the intelligent evaluation of the operating status of the instrument,and an online monitoring and self-diagnosis system is constructed.The results show that the proposed method can accurately identify the fault type,which provides strong support for the health management of the automatic control system of oil and gas field instrumentation.
instrument automatic control systemmulti-parameterfault diagnosis