Research On Fault Analysis And Intelligent Diagnosis System Of Heavy Gas Turbine

The working environment of heavy gas turbines is complex and the working conditions are changeable.With the increase of operation time,the failure risk of heavy gas turbines is greatly increased.Based on the analysis of fault mode and mechanism of gas turbine,this paper studies the intelligent fault diagnosis of heavy-duty gas turbine to ensure its safe and healthy operation.Firstly,the theory-system of intelligent fault diagnosis for heavy-duty gas turbines is proposed,which mainly includes the structure and content of the theory system,as well as the key methods and technologies,to guide the intelligent diagnosis and analysis of heavy-duty gas turbines.Secondly,the structural division of heavy gas turbines is carried out.Based on this,FMEA and FTA technologies are applied to analyze the failure modes and mechanisms.Guided by the faulty FMEA analysis and statistical case analysis results,the main characteristic parameters that contribute to the unit fault identification or cause finding are obtained,and then the artificial intelligence method such as S VR is used to obtain the fault symptom and provide early warning.Thirdly,on the basis of acquiring diagnostic knowledge,the intelligent method of graph theory is used to express it.The combination of the two methods realizes intelligent fault diagnosis of heavy gas turbine,which provides important reference for maintenance decision.Finally,combining the previous theoretical research with the engineering practice,the design idea and framework of the intelligent diagnosis system for heavy-duty gas turbines are introduced in detail,ocusing on the process design of the two functional modules of"monitoring analysis" and "intelligent diagnosis" It lays the foundation for the practical development and application of the intelligent gas turbine intelligent diagnosis system in the future.