Research on Intelligent Fault Diagnosis and Prediction of Thermal Power Plant Power Generation Equipment Based on Deep Learning
A deep learning method based on the combination of LSTM and CNN is proposed to achieve intelligent fault diagnosis and prediction of power generation equipment in thermal power plants.This model models time series using LSTM modules and extracts spatial local features using CNN modules,achieving fault pattern recognition.The results show that the designed model can improve the average accuracy of fault diagnosis and provide sufficient warning time,greatly improving the operational efficiency and safety of power generation equipment in thermal power plants.
deep learningfault diagnosispower generation equipment
NETL
NSTL
万方数据
维普
