Research Progress of Intelligent Evaluation and Deterioration Analysis System for Steam Turbine Thermodynamic Performance
With the continuous development of the thermal power generation industry,the steam turbine,as one of the core equipment,plays a vital role in ensuring stable power supply for power plants through its efficient and reliable operation.Fault prediction and diagnosis technologies can assess the causes of performance deterioration or even failure in advance during the actual operation of the units.These technologies are crucial for the safe and stable operation of large steam turbine units.This paper introduces the research status of fault prediction and diagnosis technologies from three aspects:empirical knowledge,mathematical models,and data-driven approaches.In response to the issues of thermodynamic performance evaluation and deterioration trend analysis of turbo-generator units,the future development trends of intelligent prediction and diagnosis technologies are summarized,which provide references for the efficient,flexible,and safe operation of the units.
steam turbinefault prediction and diagnosisdeterioration tendencymachine learning
万方数据
维普
