Thermal Performance Monitoring And Condition Assessment Technology Of Triaxial Marine Gas Turbine

Gas turbines has compact structure and components of complex shape, whichworking environment is difficult to guarantee. Slight damage may cause its significantperformance degradation, which also makes a huge risk to its safety. To meet therequirements of high efficiency, high thrust to weight ratio, low noise, low emissionsand smooth operation, etc. in aviation, marine, land vehicles, energy and powerengineering and other areas. It is necessary to monitor thermal parameters and assess itsperformance status, to ensure that no major incidents, maintaining normal and stableoperation of gas turbine.Firstly, this paper studied the compressor characteristic curve. According to theliterature provided the characteristic curve of discrete points, using coefficients fittingmethod to interpolate and fit compressor characteristic curve. Calculating themathematical equation of fitting characteristics. The interpolation fitting results werecompared with literature data analysis. It is found that the method is not only simple inprinciple, the calculation process is easy to implement, and with high precision, suitablefor general research and project needs, the results can be used for simulation modelingin the characteristic curve of the compressor and the turbine module.Secondly, using the above characteristic curve fitting results and a modularmodeling as guidance, based on the MATLAB Simulink simulation platform to buildtriaxial gas turbine simulation model, which including compressor, turbine, combustionchamber, rotor and the the module of pure volume as the main function module, andverifying that the model has good convergence. Proved that the simulation model canbetter reflect the actual working conditions of gas turbine can provides data validationfor subsequent established evaluation system.Thirdly, basing on a single parameter estimation theory and fuzzy mathematicaltheory, respectively, to consider the performance of a gas turbine from three differentaspects, including fuel economy, performance, health, safety factors. Introducingweights ideas, Taking these three factors set to establish comprehensive assessment ofthe whole system, and the qualitative prediction method is proposed based on the trendof assessment criteria. And a forecasting method is proposed based on the trend ofassessment criteria, qualitatively.Finally, according to the actual provision of resource information, re-planning andestablishing the actual needs of the whole evaluation system., which consists stateassessment and fault diagnosis. Where the state evaluation module is based on thestructural characteristics of the gas turbine axis, is divided into modules and the powerturbine gas generator assessment evaluation module. Combining two modules results inweights ideas. The fault diagnosis system is consisted by the fault diagnosis module of power turbine and gas generator rotor system failure location determination module,which is dominated by small deviations equation coefficients matrix. Using thesimulation model to simulate the location of failure to provide relevant data, and theverifying results. It is Proved that the results of the evaluation system is quitesatisfactory. in the case of measuring point information less, The assessment cancomplete the state of the gas turbine system evaluation and the fault identification.