Loading...
Please wait, while we are loading the content...
Similar Documents
Fault Diagnosis of Gas Turbine Based on Improved BP Neural Network with the Combination of N-W and L-M Algorithm
| Content Provider | Scilit |
|---|---|
| Author | Zhang, Yun Qian, Yu-Liang Qiu, Zheng Zhang, Xiao |
| Copyright Year | 2018 |
| Description | Journal: Iop Conference Series: Earth and Environmental Science In order to solve the problem that the training speed of traditional BP neural network is slow in the process of gas turbine fault diagnosis, a new fault diagnosis method based on a combination of Nguyen-Widrow method and L-M optimized BP algorithm was proposed. The Nguyen-Widrow method is used to initialize the weights and thresholds of neurons in the BP neural network, and the L-M algorithm is used to improve the search space of the BP neural network, which reduces the times of network training and accelerates the learning speed of the network. The gradient descent method, the conjugate gradient method and the N-W and L-M combination optimization methods are respectively applied to the fault diagnosis of gas turbine. The results show that the BP neural network model optimized by combining N-W and L-M has faster learning speed and higher diagnostic efficiency for gas turbine fault diagnosis. |
| Related Links | http://iopscience.iop.org/article/10.1088/1755-1315/192/1/012015/pdf |
| ISSN | 17551307 |
| e-ISSN | 17551315 |
| DOI | 10.1088/1755-1315/192/1/012015 |
| Journal | Iop Conference Series: Earth and Environmental Science |
| Issue Number | 1 |
| Volume Number | 192 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-11-05 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Earth and Environmental Science Hardware and Architecture Gas Turbine Bp Neural Network |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Physics and Astronomy Environmental Science |
