Fault Diagnosis System for Unbalanced Vibration of Turbo Engine during High Speed Rotation
A turbine engine is a kind of engine that burns fuel and uses high-speed flowing gas to generate power.In the state of high-speed rotation,its unbalanced vibration will lead to increased wear of turbine engine components and reduce service life.In order to effectively solve this problem,a fault diagnosis system for unbalance vibration of turbine engine in high-speed rotation state is de-signed.The system framework is divided into three layers,including a lower computer layer,upper computer layer,and client layer.The system uses vibration sensors and sound sensors to collect status signals during the operation of the turbine engine under high-speed rotation,and the signals are converted into the signals recognized by the lower computer through a transmitter.The lower com-puter runs the processing program,filters the signal,extracts the fault features,and then forwards the signal to the upper computer through the Zigbee remote communication module.The upper computer layer runs a knowledge graph diagnostic program to construct a knowledge graph of engine imbalanced vibration faults,and combines it with Bayesian networks to infer fault types,calculate the probability of fault occurrence,and achieve the high-precision imbalanced vibration fault diagnosis.Experimental results show that compared with the three traditional diagnostic methods,the receiver operating characteristic curve(ROC)curve of the designed sys-tem is at the top,and the area below the curve is larger,with an area under curve(AUC)value of 0.847,indicating that the designed system has a strong fault diagnosis ability and can ensure the accuracy of diagnostic results.
high speed rotationknowledge graphturbo enginefault diagnosis systemunbalanced vibration data
万方数据
维普
