scholarly journals Prediction of Aero-Engine Wear Based on Genetic Algorithms and BP Neural Network

2017 ◽  
Author(s):  
Zhen Zhang ◽  
Chao-Yang Shi
Keyword(s):  
Neural Network ◽  
Genetic Algorithms ◽  
Bp Neural Network ◽  
Aero Engine ◽  
Engine Wear

Machining Parameter Optimization of Aero-Engine Blade in Electrochemical Machining Based on BP Neural Network

2010 ◽  
Vol 121-122 ◽  
pp. 893-899 ◽  
Author(s):  
Zhi Yong Li ◽  
Hua Ji ◽  
Hong Li Liu
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Electrochemical Machining ◽  
Machining Accuracy ◽  
Machining Parameters ◽  
Parameter Combination ◽  
Aero Engine ◽  
Engine Blade ◽  
Blade Machining ◽  
Machining Parameter

Because the process of blade in electrochemical machining(EMC) can be effected by many factors, such as blade shapes, machining electrical field, electrolyte fluid field and anode electrochemical dissolution, different ECM machining parameters maybe result in great affections on blade machining accuracy. Regard some type of aero-engine blade as research object, five main machining parameters, applied voltage, initial machining gap, cathode feed rate, electrolyte temperature and pressure difference between electrolyte inlet and outlet, have been evaluated and optimized based on BP neural network technique. From 3125 possible machining parameter combinations, 657 optimized parameter combinations are discovered. To verify the validity of the optimized ECM parameter combination, a serial of machining experiments have been conducted on an industrial scale ECM machine, and the experiment results demonstrates that the optimized ECM parameter combination not only can satisfy the manufacturing requirements of blade fully but has excellent ECM process stability.

scholarly journals Prediction Method of Concentricity and Perpendicularity of Aero Engine Multistage Rotors Based on PSO-BP Neural Network

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 132271-132278 ◽  
Author(s):  
Chuanzhi Sun ◽  
Chengtian Li ◽  
Yongmeng Liu ◽  
Zewei Liu ◽  
Xiaoming Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Prediction Method ◽  
Aero Engine

Research on Forecasting of Airflow Temperature in Heading Face Based on the GA-BP Neural Network

2012 ◽  
Vol 524-527 ◽  
pp. 668-672
Author(s):  
Xiang Zhang ◽  
Bai Shun Wang ◽  
Shuo Xu
Keyword(s):  
Neural Network ◽  
Genetic Algorithms ◽  
Network Model ◽  
Neural Network Model ◽  
Coal Mine ◽  
Bp Neural Network ◽  
Prediction Accuracy ◽  
High Prediction ◽  
Bp Neural Network Model ◽  
Matlab Programming

In order to solve the problem of forecasting airflow temperature in heading face, a new model of forecasting airflow temperature in heading face with Matlab programming is built on the BP neural network model, making use of genetic algorithms to optimize the initial weights and thresholds of the network. According to the analysis of test carried out in a coal mine in Huainan, the results show that the model of fast convergence and high prediction accuracy is one of the most effective ways of forecasting airflow temperature in heading face.

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