Fault Analysis And Diagnosis Of Turbo-generator Set Rotor And Shaft Seal Rubbing

The fault diagnosis technology of turbo generator set is an important guarantee for realizing condition based maintenance.In order to make a scientific and reasonable diagnosis strategy,in addition to the need to master the structure and operation characteristics of the turbine generator set,it is necessary to pay special attention to the complex causality chain and transmission relationship between the unit fault and its inducement and influence.On the basis of the previous analysis method of turbogenerator fault analysis,this paper,starting from the participation system and equipment structure of the turbo generator set,flexibly uses FMEA and FTA techniques to analyze the structure of the fault location,the cause of the fault and the effect of the failure,so as to better obtain the help to the practical engineering.The problem of solving the problem of fault knowledge.Based on this method,rotor and shaft seal fault failure mode is analyzed,and the diagnosis knowledge is obtained.Finally,the structure of the Bayesian network is constructed,and the reasonable assignment of the node parameters in the model is made,and the Bayesian network model of the rotor of the high school pressure cylinder and the front axle seal of the steam turbine generator set is established.By diagnosing the symptoms submitted by two time points in the case,the diagnosis results are consistent with the results of the field experts.In order to verify the feasibility of this method,a diagnostic process based on Bayesian network diagnosis is designed to meet the requirements of different tasks for fault identification and fault diagnosis.